Andrey Akinshin

andrey.akinshin@gmail.com

Andrey Akinshin is a software developer and a mathematician, an author of blog posts and papers about statistics and programming, a conference speaker. He is a PhD, a performance engineer at JetBrains, the project lead of BenchmarkDotNet, the author of Pro .NET Benchmarking. Previously, he was a postdoc at the Weizmann Institute of Science, a Microsoft .NET MVP, an ACM ICPC medalist.


Content

Activities: Publications (36) | Public talks (105) | Posts (240) | Media (24)
Experience: Open Source | Enterprise programming | Science | Competitive programming | Teaching
Background: Education | Certificates and Awards

Publications

2023

  1. Andrey Akinshin “Weighted quantile estimators” (2023) // arXiv. DOI: 10.48550/arXiv.2304.07265
    EN Article Preprint DOI arXiv PDF GitHub
  2. V. P. Golubyatnikov, A. A. Akinshin, N. B. Ayupova, L. S. Minushkina “Stratifications and foliations in phase portraits of gene network models” (2023) // Vavilov Journal of Genetics and Breeding. Publisher: Institute of Cytology and Genetics, SB RAS. Vol. 26. No 8. Pp. 758–764. DOI: 10.18699/vjgb-22-91
    EN Article DOI

2022

  1. Andrey Akinshin “Finite-sample Rousseeuw-Croux scale estimators” (2022) // arXiv. DOI: 10.48550/arXiv.2209.12268
    EN Article Preprint DOI arXiv PDF GitHub
  2. Andrey Akinshin “Quantile absolute deviation” (2022) // arXiv. DOI: 10.48550/ARXIV.2208.13459
    EN Article Preprint DOI arXiv PDF GitHub
  3. A. A. Akinshin, N. B. Ayupova, V. P. Golubyatnikov, N. E. Kirillova, O. A. Podkolodnaya, N. L. Podkolodnyy “On a Numerical Model of a Circadian Oscillator” (2022) // Numerical Analysis and Applications. Vol. 15. No 3. Pp. 187-196. DOI: 10.1134/S1995423922030016
    EN Article Web of Science Springer Scopus DOI Link
  4. V Golubyatnikov, A Akinshin, N Ayupova, N Kirillova, N Podkolodnyy, O Podkolodnaya “Mathematical and numerical modelling of the circadian oscillator” (2022) // Bioinformatics of Genome Regulation and Structure/Systems Biology (BGRS/SB-2022). Pp. 1096–1096. DOI: 10.18699/SBB-2022-657
    EN Inproceedings DOI
  5. Andrey Akinshin “Finite-sample bias-correction factors for the median absolute deviation based on the Harrell-Davis quantile estimator and its trimmed modification” (2022) // arXiv. DOI: 10.48550/ARXIV.2207.12005
    EN Article Preprint DOI arXiv PDF GitHub
  6. Andrey Akinshin “Trimmed Harrell-Davis quantile estimator based on the highest density interval of the given width” (2022) // Communications in Statistics - Simulation and Computation. Publisher: Taylor & Francis. Pp. 1-11. DOI: 10.1080/03610918.2022.2050396
    EN Article Web of Science Scopus DOI Link arXiv PDF GitHub

2021

  1. Andrey Akinshin, Gil Goldman, Yosef Yomdin “Geometry of error amplification in solving the Prony system with near-colliding nodes” (2021) // Mathematics of Computation. Vol. 90. No 327. Pp. 267–302. DOI: 10.1090/mcom/3571
    EN Article Web of Science Scopus DOI Publons arXiv PDF

2020

  1. T.A. Bukharina, A.A. Akinshin, V.P. Golubyatnikov, D.P. Furman “A Model of one central regulatory circuit” (2020) // The Twelfth International Multiconference 'Bioinformatics of genome regulation and structure/systems biology (BGRS/SB-2020)'. Publisher: Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk State University. Pp. 143–144. DOI: 10.18699/BGRS/SB-2020-090
    EN Inproceedings DOI PDF
  2. T. A. Bukharina, A. A. Akinshin, V. P. Golubyatnikov, D. P. Furman “Mathematical and Numerical Models of the Central Regulatory Circuit of the Morphogenesis System of Drosophila” (2020) // Journal of Applied and Industrial Mathematics. Vol. 14. No 2. Pp. 249-255. DOI: 10.1134/S1990478920020040
    EN Article Springer Scopus DOI Link Springer

2019

  1. Andrey Akinshin “Pro .NET Benchmarking” (2019) // Publisher: Apress. ISBN: 978-1-4842-4940-6. Pp. 662. DOI: 10.1007/978-1-4842-4941-3
    EN Book Springer DOI Springer Apress

2017

  1. Andrey Akinshin “The hard world of microbenchmarking” (2017) // Logeek Magazine. Vol. 3. Pp. 10–15.
    EN Article PDF
  2. Andrey Akinshin, Gil Goldman, Vladimir Golubyatnikov, Yosef Yomdin “Accuracy of reconstruction of spike-trains with two near-colliding nodes” (2017) // 7th International Conference on Complex Analysis and Dynamical Systems (CA&DS VII). Vol. 699. Pp. 1–17. DOI: 10.1090/conm/699/14078
    EN Inproceedings Web of Science Scopus DOI Publons arXiv PDF

2016

  1. A.A. Akinshin, V P Golubyatnikov, M.V. Kazantsev “On discrete structures in phase portraits of some non-linear dynamical systems” (2016) // Siberian Electronic Mathematical Reports. Vol. 13. Pp. A.23–A.24. DOI: 10.17377/semi.2016.13.020
    EN Inproceedings DOI PDF

2015

  1. A.A. Akinshin, M.V. Kazantsev “State transition diagrams in hypothetical models of cyclic gene networks functioning” (2015) // 5th International Young Scientists School “System Biology and Bioinformatics”. Novosibirsk. Pp. 1.
    EN Inproceedings Conference site
  2. A Akinshin, D Batenkov, Y Yomdin “Accuracy of spike-train Fourier reconstruction for colliding nodes” (2015) // Sampling Theory and Applications (SampTA), 2015 International Conference on. Publisher: IEEE. Washington, DC. ISBN: 978-1-4673-7353-1. No 264. Pp. 617–621. DOI: 10.1109/SAMPTA.2015.7148965
    EN Inproceedings Web of Science Scopus DOI IEEE Publons arXiv PDF
  3. Andrey Akinshin “Getting Started with Knockout.js for .NET Developers” (2015) // Publisher: PacktPub. ISBN: 978-1783984008. Pp. 188.
    EN Book PacktPub

2014

  1. A A Akinshin, T A Bukharina, D P Furman, V P Golubyatnikov “A model of one biological 2-cells complex” (2014) // Geometry days in Novosibirsk - 2014: Abstracts of the International Conference. Novosibirsk. ISBN: 978-5-86134-145-5. Pp. 85–86.
    EN Inproceedings
  2. A A Akinshin, T A Bukharina, D P Furman, V P Golubyatnikov “An Extended Model of D. Melanogaster Machrochaete Morphogenesis Gene Network” (2014) // International Conference «Mathematical Modeling and High Performance Computing in Bioinformatics, Biomedicine and Biotechnology». Pp. 10.
    EN Inproceedings Conference site
  3. A A Akinshin, T A Bukharina, D P Furman, V P Golubyatnikov “Modeling of Two-Cells Complex in Morphogenesis of D. Melanogaster Mechanoreceptors” (2014) // International Conference «Mathematical Modeling and High Performance Computing in Bioinformatics, Biomedicine and Biotechnology». Pp. 11.
    EN Inproceedings
  4. A A Akinshin, V P Golubyatnikov, V A Likhoshvai “Symmetry in gene network models” (2014) // The 12th Bioinformatics Research and Education Workshop. Bielefeld, Germany. Center for Biotechnology — CeBiTec. Pp. 1–5.
    EN Inproceedings Conference site
  5. A A Akinshin, T A Bukharina, D P Furman, V P Golubyatnikov “Mathematical modeling of interaction of two cells in proneural cluster of D.mealnogaster (In Russian)” (2014) // Vestnik NSU [NSU Herald]. Novosibirsk. Vol. 14. No 4. Pp. 3-10.
    RU Article MathNet

2013

  1. A A Akinshin, V P Golubyatnikov “Oscillating trajectories in some nonlinear dynamical systems” (2013) // International Conference «Differential Equations. Function Spaces. Approximation Theory». Novosibirsk. IM SB RAS. Pp. 311.
    EN Inproceedings
  2. A A Akinshin “Analysis of phase portraits in some gene networks models” (2013) // 5th International Young Scientists School “System Biology and Bioinformatics”. Pp. 27.
    EN Inproceedings
  3. A A Akinshin “Numerical analysis of gene networks models” (2013) // 8th FEBS Congress, Saint Petersburg, Russia, July 6-11, 2013. Vol. 280. Pp. 547. DOI: 10.1111/febs.12396
    EN Inproceedings Web of Science DOI Web of Science Publons
  4. A A Akinshin, V P Golubyatnikov, V A Likhoshvai “Mathematical and computational models of gene networks functioning” (2013) // The 11th Bioinformatics Research and Education Workshop. Berlin, Germany. Computational Molecular Biology Department, Max Planck Institute for Molecular Genetics and IMPRS-CBSC.
    EN Inproceedings Conference site
  5. A A Akinshin “Andronov-Hopf bifurcation for some nonlinear delay equations (In Russian)” (2013) // Sibirskii Zhurnal Industrial'noi Matematiki [Siberian Journal of Industrial Mathematics]. Novosibirsk. Vol. XVI. No 55. Pp. 3–15.
    RU Article RSCI MathNet
  6. A A Akinshin, V P Golubyatnikov, I V Golubyatnikov “On some multidimensional models of gene network functioning” (2013) // Journal of Applied and Industrial Mathematics. Publisher: Springer US. Vol. 7. No 3. Pp. 296–301. DOI: 10.1134/S1990478913030022
    EN Article Springer Scopus DOI RSCI Springer

2012

  1. A A Akinshin, V P Golubyatnikov “Non-uniqueness of cycles in gene networks models” (2012) // The eighth international conference on bioinformatics of genome regulation and structure / systems biology. ISBN: 978-5-91291-011. Pp. 28.
    EN Inproceedings PDF
  2. A A Akinshin, V P Golubyatnikov, Yu A Gaidov, I V Golubyatnikov “Unstable cycles in gene networks models” (2012) // The eighth international conference on bioinformatics of genome regulation and structure / systems biology. ISBN: 978-5-91291-011. Pp. 29.
    EN Inproceedings PDF
  3. A A Akinshin, V P Golubyatnikov “On Nonuniqueness of Cycles in Dissipative Dynamical Systems of Chemical Kinetics” (2012) // VI-th international conference Solitons, Collapses and Turbulence: Achievements, Developments and Perspectives.. Pp. 71–72.
    EN Inproceedings PDF
  4. A A Akinshin “Computer analysis of phase portraits in gene networks models” (2012) // Abstracts of Young scientist's school “Bioinformatics ans systems biology”. Pp. 13.
    EN Inproceedings
  5. A A Akinshin “Research of discrete structures in some cyclic dynamical systems (In Russian)” (2012) // Polzunovskiy Vestnik [Polzunov Herald]. Barnaul. Vol. 4. Pp. 214–218.
    RU Article PDF RSCI
  6. A A Akinshin, V P Golubyatnikov “Geometric characteristics of cycles in some symmetric dynamical systems (In Russian)” (2012) // Vestnik NSU [NSU Herald]. Series “Mathematics, mechanics, and informatics'”. Novosibirsk. Vol. 12. No 2. Pp. 3–12.
    RU Article RSCI MathNet

2011

  1. A A Akinshin, V P Golubyatnikov, I V Golubyatnikov “Mathematical and numerical modeling of gene network functioning” (2011) // International Conference “Modern Problems of Mathematics, Informatics and Bioinformatics”, devoted to the 100th anniversary of professor Alexei A. Lyapunov. Novosibirsk. ISBN: 978-5-905569-03-6. Pp. 81.
    EN Inproceedings Conference site PDF

My Erdős number: 4 (Andrey AkinshinMR3716100Yosef YomdinMR2232733Matatyahu RubinMR1786142Robert BonnetMR0373945Paul Erdős)

ORCID: 0000-0003-3553-9367
Scopus AuthorID: 56826126900
Web of Science ResearcherID: ABB-9171-2020
Google Scholar: rYVl83IAAAAJ
ResearchGate: Andrey_Akinshin
arXiv: akinshin_a_1


Public talks

2023

  1. “BenchmarkDotNet State of the art”,
    Techorama 2023 Belgium,
    May 16, 2023, Belgium, Antwerp

2022

  1. “Descriptive statistics of performance distributions”,
    Heisenbug 2022 Autumn,
    November 07, 2022, Online
  2. “Let's talk about descriptive statistics of performance distributions”,
    DotNext 2022 Autumn,
    November 04, 2022, Online
  3. “Panel discussion: Fear and loathing in open source”,
    DotNext 2022 Spring,
    June 17, 2022, Online

2020

  1. “Seriously about performance”,
    TechTrain 2020,
    October 24, 2020, Online
  2. “Analyze performance for the benefit of ourselves and others”,
    Heisenbug 2020 Piter,
    June 15, 2020 – June 18, 2020, Online
  3. “Let's talk about performance analysis”,
    DotNext 2020 Piter,
    June 15, 2020 – June 18, 2020, Online

2019

  1. “Performance Testing”,
    Dotnetos,
    October 11, 2019, Warsaw, Poland
  2. “Performance testing in Rider”,
    JetBrains Open Day 2019,
    June 28, 2019, St. Petersburg, Russia
  3. “Idiomatic Kotlin”,
    Kotlin meetup in Tel Aviv,
    May 21, 2019, Tel Aviv, Israel
  4. “Cross-Platform .NET Development in Rider”,
    JetBrains Night Tel Aviv 2019,
    May 20, 2019, Tel Aviv, Israel
  5. “Idiomatic Kotlin”,
    JetBrains Event Haifa,
    May 19, 2019, Haifa, Israel

2018

  1. “Powerful benchmarking in .NET”,
    Dotnetos,
    November 05, 2018, Warsaw, Poland
  2. “Rider superpowers for Unity developers”,
    Israeli Unity Developers June 2018 Meetup,
    June 26, 2018, Microsoft StartHub, Tel-Aviv, Israel
  3. “Using ASP.NET Core in Rider”,
    ILDevCon 2018,
    June 25, 2018, Hilton Tel-Aviv, 205 HaYarkon st., Tel-Aviv, Israel
  4. “How we improve performance in Rider”,
    Open Day JetBrains Moscow 2018,
    April 19, 2018, Moscow, Russia
  5. “Future of Performance Testing”,
    Internal JetBrains Conference,
    April 12, 2018, St. Petersburg, Russia
    RU
  6. “Let's talk about memory”,
    CSC Nsk 2018 Open Days,
    March 30, 2018, Novosibirsk State University, Novosibirsk, Russia
  7. “Microbenchmarking difficulties”,
    Lecture in Computer Science Center,
    January 29, 2018, Novosibirsk State University, Novosibirsk, Russia

2017

  1. “Let's talk about performance testing”,
    Independent .NET conference “DotNext 2017 Moscow”,
    November 12, 2017 – November 13, 2017, Moscow, Russia
  2. “Panel Discussion: Profiling and optimization”,
    Independent .NET conference “DotNext 2017 Moscow”,
    November 12, 2017 – November 13, 2017, Moscow, Russia
  3. “Performance testing problems”,
    Professional conference for developers of high-load systems “Highload++”,
    November 07, 2017 – November 08, 2017, Skolkovo, Moscow, Russia
  4. “Microbenchmarking difficulties”,
    DevFest Siberia 2017,
    September 23, 2017 – September 24, 2017, Novosibirsk, Russia
  5. “Theory and practice of .NET benchmarking”,
    Lecture in Computer Science Center,
    September 14, 2017, St. Petersburg, Russia
  6. “Let's talk about memory”,
    Independent .NET conference “DotNext 2017 Piter”,
    May 19, 2017 – May 20, 2017, St. Petersburg, Russia
  7. “Xplat .NET and how it's going with Mono and CoreCLR”,
    Dump,
    April 14, 2017, Yekaterinburg, Russia
  8. “Theory and practice of .NET benchmarking”,
    Msk .NET Community Meetup #6,
    January 25, 2017, Moscow, Russia

2016

  1. “Let's continue to talk about arithmetics”,
    Independent .NET conference “DotNext 2016 Moscow”,
    December 09, 2016, Moscow, Russia
  2. “Let's talk about microbenchmarking”,
    Independent .NET conference “DotNext 2017 Helsinki”,
    December 07, 2016, Helsinki, Finland
  3. “Rider: talks about internals and cross-platform”,
    SPb .NET Community Meetup #15,
    November 17, 2016, St. Petersburg, Russia
  4. “Theory and practice of .NET benchmarking”,
    Yekaterinburg .NET community meetup,
    November 02, 2016, Yekaterinburg, Russia
  5. “Let's continue to talk about arithmetics”,
    Barnaul .NET user group meetup,
    October 27, 2016, Enterra office, Barnaul, Russia
    RU
  6. “Let's talk about arithmetics”,
    Independent .NET conference “DotNext 2016 Piter”,
    June 03, 2016, St. Petersburg, Russia
  7. “CPU level optimizations”,
    BackendConf,
    May 31, 2016 – June 01, 2016, Skolkovo, Moscow, Russia
  8. “Open source benchmarks”,
    DevCon 2016,
    May 25, 2016 – May 26, 2016, Klyazma, Russia
  9. “Performance testing complexity”,
    Barnaul .NET user group meetup,
    May 23, 2016, Barnaul, Russia
  10. “Hardware timers”,
    Seminar about CLR and .NET Framework anatomy “CLRium #3 (Novosibirsk)”,
    May 20, 2016, Novosibirsk, Russia
  11. “Hardware timers”,
    Seminar about CLR and .NET Framework anatomy “CLRium #3 (Moscow)”,
    April 22, 2016, Moscow, Russia
  12. “Hardware timers”,
    Seminar about CLR and .NET Framework anatomy “CLRium #3 (St. Petersburg)”,
    April 15, 2016, St. Petersburg, Russia
  13. “CLR and JVM in Project Rider”,
    CodeFest 2016,
    March 26, 2016 – March 27, 2016, Novosibirsk, Russia
  14. “Project Rider”,
    CEE Community Open Days 2016,
    March 16, 2016 – March 17, 2016, Prague, Czech Republic
    EN

2015

  1. “.NET 2015: The future is nearby”,
    Barnaul .NET user group meetup,
    December 22, 2015, Enterra office, Barnaul, Russia
    RU
  2. “Let's continue to talk about micro-optimizations in .NET applications”,
    Barnaul .NET user group meetup,
    December 15, 2015, Enterra office, Barnaul, Russia
    RU
  3. “Forthcoming C#7”,
    Community Dev Camp,
    December 12, 2015, Moscow, Russia
  4. “.NET 2015: The future is nearby”,
    Independent .NET conference “DotNext 2015 Moscow”,
    December 11, 2015, Moscow, Russia
  5. “Let's continue to talk about micro-optimizations in .NET applications”,
    Independent .NET conference “DotNext 2015 Moscow”,
    December 11, 2015, Moscow, Russia
  6. “Common mistakes in .NET benchmarks”,
    SPb .NET Community Meetup,
    November 16, 2015, St. Petersburg, Russia
  7. “.NET 2015 and performance”,
    IT NONSTOP 2015 Spb,
    October 23, 2015, St. Petersburg, Russia
  8. “How to measure time right way”,
    Dev labs 2015 .NET,
    October 17, 2015,
  9. 7th International Young Scientists School “Systems Biology and Bioinformatics”,
    June 22, 2015 – June 25, 2015, Novosibirsk, Russia
  10. “Let's talk about micro-optimizations in .NET applications”,
    Barnaul .NET user group meetup,
    June 10, 2015, Enterra office, Barnaul, Russia
    RU
  11. “The future of the .NET development”,
    SPb .NET Community Meetup #1,
    June 06, 2015, St. Petersburg, Russia
  12. “Let's talk about micro-optimizations in .NET applications”,
    Independent .NET conference “DotNext 2015 Piter”,
    June 05, 2015, St. Petersburg, Russia
  13. “Panel discussion: .NET cross-platform developments”,
    Independent .NET conference “DotNext 2015 Piter”,
    June 05, 2015, St. Petersburg, Russia
  14. “Panel discussion: .NET performance”,
    Independent .NET conference “DotNext 2015 Piter”,
    June 05, 2015, St. Petersburg, Russia
  15. “CoreCLR, RyuJIT, DNX”,
    Seminar about CLR and .NET Framework anatomy “CLRium #2 (St. Petersburg)”,
    May 29, 2015 – May 30, 2015, St. Petersburg, Russia
  16. “Practical .NET applications optimization approaches”,
    .dotnetconf 10,
    April 19, 2015, Chelyabinsk, Russia
  17. “CoreCLR, RyuJIT, DNX”,
    Seminar about CLR and .NET Framework anatomy “CLRium #2 (Moscow)”,
    April 03, 2015 – April 04, 2015, Moscow, Russia
  18. “Grapholite Diagrams and Flow Chart”,
    European AppCup 2015,
    March 24, 2015 – March 25, 2015, Brussels, Belgium

2014

  1. “Let's talk about different .NET versions”,
    Barnaul .NET user group meetup,
    December 18, 2014, Enterra office, Barnaul, Russia
    RU
  2. “Let's talk about different .NET versions”,
    Independent .NET conference “DotNext 2014 Moscow”,
    December 08, 2014, Moscow, Russia
  3. Geometry Days in Novosibirsk 2014,
    September 24, 2014 – September 27, 2014, Novosibirsk, Russia
  4. “Low-level optimizations of .NET applications”,
    Barnaul .NET user group meetup,
    August 28, 2014, Enterra office, Barnaul, Russia
  5. “Modern trends in numerical experiments”,
    Seminar in Laboratory of Inverse Problems of Mathematical Physics (Sobolev Institute of Mathematics SB RAS),
    August 27, 2014, Novosibirsk, Russia
  6. ATR 2014,
    August 24, 2014 – August 30, 2014, Belokurikha, Russia
  7. Mathematical Modeling and High Performance Computing in Bioinformatics, Biomedicine and Biotechnology (MM-HPC-BBB-2014),
    June 24, 2014 – June 27, 2014, Novosibirsk, Russia
  8. The 9th International Conference on Bioinformatics of Genome Regulation and Structure Systems Biology (BGRS\SBB'2014),
    June 23, 2014 – June 28, 2014, Novosibirsk, Russia
  9. “LINQ Features”,
    Barnaul .NET user group meetup,
    June 10, 2014, Enterra office, Barnaul, Russia
    RU
  10. “Symmetry in gene network models”,
    The Bioinformatics Research and Education Workshop (BREW 2014),
    May 12, 2014 – May 13, 2014, Bielefeld, Germany
  11. “Mathematical and numerical modelling of a molecular auto-repressilator”,
    International conference of young scientists “Biology — the Science of the XXI Century”,
    April 21, 2014 – April 25, 2014, Pushchino, Russia
  12. “Future of the .NET platform”,
    Barnaul .NET user group meetup,
    April 09, 2014, Enterra office, Barnaul, Russia
    RU
  13. “Git Basics”,
    Barnaul .NET user group meetup,
    March 26, 2014, Enterra office, Barnaul, Russia
  14. “Garbage collection in .NET”,
    Barnaul .NET user group meetup,
    March 12, 2014, Enterra office, Barnaul, Russia
  15. “Value types in .NET”,
    Barnaul .NET user group meetup,
    February 26, 2014, Enterra office, Barnaul, Russia

2013

  1. Lomonosov’s reading in Altai,
    November 05, 2013 – November 08, 2013, Barnaul, Russia
  2. Theory and Computational Methods for Inverse and Ill-posed Problems,
    October 07, 2013 – October 15, 2013, Novosibirsk, Russia
  3. Analysis, geometry and topology,
    October 02, 2013 – October 04, 2013, Barnaul, Russia
  4. “Oscillating trajectories in some nonlinear dynamical systems”,
    Differential Equations. Function Spaces. Approximation Theory,
    August 18, 2013 – August 24, 2013, Novosibirsk, Russia
  5. Systems Biology and Bioinformatics (SBB-2013),
    June 23, 2013 – June 26, 2013, Novosibirsk, Russia
  6. “Numerical analysis of gene networks models”,
    Federation of European Biochemical Societies CONGRESS Mechanisms in Biology (FEBS 2013),
    June 06, 2013 – June 11, 2013, St. Petersburg, Russia
  7. “Mathematical and computational models of gene networks functioning”,
    The Bioinformatics Research and Education Workshop (BREW 2013),
    May 03, 2013 – May 04, 2013, Computational Molecular Biology Department, Max Planck Institute for Molecular Genetics and IMPRS-CBSC, Berlin, Germany
  8. Workshop in Medical Informatics Department of Universität Bielefeld,
    April 29, 2013, Universität Bielefeld, Bielefeld, Germany
  9. Science and Youth,
    April 25, 2013 – April 30, 2013, Barnaul, Russia
    RU
  10. Workshop in Altai State University,
    April 19, 2013, Altai State University, Barnaul, Russia
  11. The 20 International student, postgraduate and young scientist conference “Lomonosov”,
    April 08, 2013 – April 13, 2013, Moscow, Russia
  12. International Workshop “Analysis of Complex Biological Systems: Models and Experiment”,
    January 28, 2013 – February 02, 2013, Pushchino, Russia
  13. Mathematics. Computing. Education,
    January 28, 2013 – February 02, 2013, Pushchino, Russia
  14. Conservation laws and invariants,
    2013, The Institute of Computational Technologies of SB RAS
  15. Selected questions of mathematical analysis,
    2013, Sobolev Institute of Mathematics SB RAS, Novosibirsk, Russia
  16. Workshop in Institute of Computational Mathematics and Mathematical Geophysics SB RAS,
    2013, Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Novosibirsk, Russia
  17. Workshop in Peter the Great St.Petersburg Polytechnic University,
    2013, Peter the Great St.Petersburg Polytechnic University, St. Petersburg, Russia
    RU
  18. Workshop in Polzunov Altai State Technical University,
    2013, Polzunov Altai State Technical University, Barnaul, Russia
  19. Workshop in Sobolev Institute of Mathematics SB RAS,
    2013, Sobolev Institute of Mathematics SB RAS, Novosibirsk, Russia

2012

  1. Lomonosov’s reading in Altai,
    November 20, 2012 – November 23, 2012, Barnaul, Russia
  2. Academic mobility of students and young researchers,
    October 27, 2012 – October 29, 2012, Novosibirsk, Russia
  3. Systems Biology and Bioinformatics (SBB-2012),
    June 25, 2012 – June 29, 2012, Novosibirsk, Russia
  4. The eighth international conference on bioinformatics of genome regulation and structure systems biology (BGRS 2012),
    June 25, 2012 – June 29, 2012, Novosibirsk, Russia
  5. VI-th international conference Solitons, Collapses and Turbulence: Achievements, Developments and Perspectives,
    June 04, 2012 – June 08, 2012, Novosibirsk, Russia
  6. Science and Youth,
    April 27, 2012, Barnaul, Russia
    RU
  7. Student + scientific and technical progress,
    April 13, 2012 – April 19, 2012, Novosibirsk, Russia
  8. Modern Technique and Technologies (MTT’2012),
    April 09, 2012 – April 13, 2012, Tomsk, Russia

2011

  1. Geometry Days in Novosibirsk,
    September 01, 2011 – September 04, 2011, Novosibirsk, Russia
  2. Modern Technique and Technologies (MTT’2011),
    2011, Tomsk, Russia
  3. Science and Youth,
    2011, Barnaul, Russia
    RU
  4. Student + scientific and technical progress,
    2011, Novosibirsk, Russia

Posts (240)

  1. Effect Sizes and Asymmetry (2024-03-12) 5 Mathematics Statistics Research
  2. Pragmatic Statistics Manifesto (2024-03-05) 5 Mathematics Statistics Research
  3. The Effect Existence, Its Magnitude, and the Goals (2024-02-27) 1 1 Mathematics Statistics Research
  4. Case Study: A City Social Survey (2024-02-20) 1 Mathematics Statistics Research
  5. Simplifying adjustments of confidence levels and practical significance thresholds (2024-02-13) Mathematics Statistics Research
  6. Degrees of practical significance (2024-02-06) Mathematics Statistics Research
  7. Weighted Mann-Whitney U test, Part 3 (2024-01-30) 8 Mathematics Statistics Research
  8. Andreas Löffler's implementation of the exact p-values calculations for the Mann-Whitney U test (2024-01-23) 5 1 Mathematics Statistics Research
  9. Eclectic statistics (2024-01-16) 1 1 Mathematics Statistics Research
  10. Change Point Detection and Recent Changes (2024-01-09) 1 Mathematics Statistics Research
  11. Merging extended P² quantile estimators, Part 1 (2024-01-02) 2 Mathematics Statistics Research
  12. Hodges-Lehmann ratio estimator vs. Bhattacharyya's scale ratio estimator (2023-12-26) 2 Mathematics Statistics Research
  13. Finite-sample Gaussian efficiency: Shamos vs. Rousseeuw-Croux Qn scale estimators (2023-12-19) 2 Mathematics Statistics Research
  14. Two-pass change point detection for temporary interval condensation (2023-12-12) Mathematics Statistics Research
  15. Inconsistent violin plots (2023-12-05) 1 Mathematics Statistics Research
  16. Sporadic noise problem in change point detection (2023-11-28) Mathematics Statistics Research
  17. Resistance to the low-density regions: the Hodges-Lehmann location estimator based on the Harrell-Davis quantile estimator (2023-11-21) 2 Mathematics Statistics Research
  18. Median vs. Hodges-Lehmann: compare efficiency under heavy-tailedness (2023-11-14) 2 1 Mathematics Statistics Research
  19. Thoughts about robustness and efficiency (2023-11-07) 2 1 Mathematics Statistics Research
  20. Finite-sample Gaussian efficiency: Quantile absolute deviation vs. Rousseeuw-Croux scale estimators (2023-10-31) 1 1 Mathematics Statistics Research
  21. Mann-Whitney U test and heteroscedasticity (2023-10-24) 1 1 Mathematics Statistics Research
  22. Exploring the power curve of the Ansari-Bradley test (2023-10-17) 1 1 Mathematics Statistics Research
  23. Exploring the power curve of the Lepage test (2023-10-10) 1 Mathematics Statistics Research
  24. Weighted Hodges-Lehmann location estimator and mixture distributions (2023-10-03) 2 Mathematics Statistics Research
  25. Carling’s Modification of the Tukey's fences (2023-09-26) Mathematics Statistics Research
  26. Central limit theorem and log-normal distribution (2023-09-19) Mathematics Statistics Research
  27. Hodges-Lehmann Gaussian efficiency: location shift vs. shift of locations (2023-09-12) 2 Mathematics Statistics Research
  28. Thoughts on automatic statistical methods and broken assumptions (2023-09-05) 3 Mathematics Statistics Research
  29. Ratio estimator based on the Hodges-Lehmann approach (2023-08-29) 1 Mathematics Statistics Research
  30. Weighted Mann-Whitney U test, Part 2 (2023-08-22) 2 Mathematics Statistics Research
  31. Exploring the power curve of the Cucconi test (2023-08-15) 1 Mathematics Statistics Research
  32. Parametric, Nonparametric, Robust, and Defensive statistics (2023-08-08) 3 1 Mathematics Statistics Research
  33. Insidious implicit statistical assumptions (2023-08-01) 2 2 Mathematics Statistics Research
  34. Four main books on robust statistics (2023-07-25) 1 Mathematics Statistics
  35. Multimodal distributions and effect size (2023-07-18) 2 Mathematics Statistics Research
  36. Unobvious limitations of R *signrank Wilcoxon Signed Rank functions (2023-07-11) Mathematics Statistics Research
  37. Weighted Mann-Whitney U test, Part 1 (2023-07-04) 4 2 Mathematics Statistics Research
  38. Joining modes of multimodal distributions (2023-06-27) 2 Mathematics Statistics Research
  39. Understanding the pitfalls of preferring the median over the mean (2023-06-20) Mathematics Statistics Research
  40. Introducing the defensive statistics (2023-06-13) 1 Mathematics Statistics Research
  41. Edgeworth expansion for the Mann-Whitney U test, Part 2: increased accuracy (2023-06-06) 1 2 Mathematics Statistics Research
  42. Edgeworth expansion for the Mann-Whitney U test (2023-05-30) 3 2 Mathematics Statistics Research
  43. Confusing tie correction in the classic Mann-Whitney U test implementation (2023-05-23) 3 2 Mathematics Statistics Research
  44. Efficiency of the central tendency measures under the uniform distribution (2023-05-16) Mathematics Statistics Research
  45. Unobvious problems of using the R's implementation of the Hodges-Lehmann estimator (2023-05-09) Mathematics Statistics Research
  46. When Python's Mann-Whitney U test returns extremely distorted p-values (2023-05-02) 1 Mathematics Statistics Research
  47. When R's Mann-Whitney U test returns extremely distorted p-values (2023-04-25) 1 4 Mathematics Statistics Research
  48. Preprint announcement: 'Weighted quantile estimators' (2023-04-18) 1 3 Mathematics Statistics Research
  49. Rethinking Type I/II error rates with power curves (2023-04-11) 1 2 Mathematics Statistics Research
  50. Adaptation of continuous scale measures to discrete distributions (2023-04-04) Mathematics Statistics Research
  51. Weighted modification of the Hodges-Lehmann location estimator (2023-03-28) 1 3 Mathematics Statistics Research
  52. Performance stability of GitHub Actions (2023-03-21) Mathematics Statistics Research
  53. p-value distribution of the Brunner–Munzel test in the finite case (2023-03-14) 2 Mathematics Statistics Research
  54. Comparing statistical power of the Mann-Whitney U test and the Brunner-Munzel test (2023-03-07) Mathematics Statistics Research
  55. p-value distribution of the Mann–Whitney U test in the finite case (2023-02-28) 1 1 Mathematics Statistics Research
  56. Corner case of the Brunner–Munzel test (2023-02-21) 1 Mathematics Statistics
  57. Examples of the Mann–Whitney U test misuse cases (2023-02-14) 1 Mathematics Statistics
  58. Types of finite-sample consistency with the standard deviation (2023-02-07) Mathematics Statistics Research
  59. Debunking the myth about ozone holes, NASA, and outlier removal (2023-01-31) 7 Science Audit
  60. Nonparametric effect size: Cohen's d vs. Glass's delta (2023-01-24) 2 Mathematics Statistics Research
  61. Trinal statistical thresholds (2023-01-17) Mathematics Statistics Research
  62. Trimmed Hodges-Lehmann location estimator, Part 2: Gaussian efficiency (2023-01-10) 1 Mathematics Statistics Research
  63. Trimmed Hodges-Lehmann location estimator, Part 1: breakdown point (2023-01-03) 1 Mathematics Statistics Research
  64. Median of the shifts vs. shift of the medians, Part 2: Gaussian efficiency (2022-12-27) 1 1 Mathematics Statistics Research
  65. Median of the shifts vs. shift of the medians, Part 1 (2022-12-20) 2 Mathematics Statistics Research
  66. Resistance to the low-density regions: the Hodges-Lehmann location estimator (2022-12-13) 2 1 Mathematics Statistics Research
  67. Kernel density estimation boundary correction: reflection (ggplot2 v3.4.0) (2022-12-06) Mathematics Statistics Research
  68. Sheather & Jones vs. unbiased cross-validation (2022-11-29) 1 Mathematics Statistics Research
  69. Resistance to the low-density regions: the Harrell-Davis median (2022-11-22) 1 1 Mathematics Statistics Research
  70. Resistance to the low-density regions: the mean and the median (2022-11-15) 1 2 Mathematics Statistics Research
  71. Finite-sample Gaussian efficiency of the trimmed Harrell-Davis median estimator (2022-11-08) 2 Mathematics Statistics Research
  72. Finite-sample Gaussian efficiency of the Harrell-Davis median estimator (2022-11-01) 1 Mathematics Statistics Research
  73. Weighted quantile estimation for a weighted mixture distribution (2022-10-25) Mathematics Statistics Research
  74. Preprint announcement: 'Finite-sample Rousseeuw-Croux scale estimators' (2022-10-18) 1 Mathematics Statistics
  75. Sensitivity curve of the Harrell-Davis quantile estimator, Part 3 (2022-10-11) 3 Mathematics Statistics Research
  76. Sensitivity curve of the Harrell-Davis quantile estimator, Part 2 (2022-10-04) 2 1 Mathematics Statistics Research
  77. Sensitivity curve of the Harrell-Davis quantile estimator, Part 1 (2022-09-27) 1 2 Mathematics Statistics Research
  78. Weighted quantile estimators for exponential smoothing and mixture distributions (2022-09-20) Mathematics Statistics Research
  79. The Huggins-Roy family of effective sample sizes (2022-09-13) 3 1 Mathematics Statistics Research
  80. Finite-sample bias correction factors for Rousseeuw-Croux scale estimators (2022-09-06) 3 Mathematics Statistics Research
  81. Preprint announcement: 'Quantile absolute deviation' (2022-09-01) 1 1 Mathematics Statistics
  82. Standard trimmed Harrell-Davis median estimator (2022-08-31) 3 Mathematics Statistics Research
  83. Optimal quantile absolute deviation (2022-08-30) 2 Mathematics Statistics Research
  84. Quantile absolute deviation of the Pareto distribution (2022-08-29) Mathematics Statistics Research
  85. Quantile absolute deviation of the Exponential distribution (2022-08-26) Mathematics Statistics Research
  86. Quantile absolute deviation of the Uniform distribution (2022-08-25) Mathematics Statistics Research
  87. Quantile absolute deviation of the Normal distribution (2022-08-24) 1 Mathematics Statistics Research
  88. Standard quantile absolute deviation (2022-08-23) 4 1 Mathematics Statistics Research
  89. Asymptotic Gaussian efficiency of the quantile absolute deviation (2022-08-16) 2 2 Mathematics Statistics Research
  90. Finite-sample efficiency of the Rousseeuw-Croux estimators (2022-08-09) 1 1 Mathematics Statistics Research
  91. Caveats of using the median absolute deviation (2022-08-02) 1 Mathematics Statistics Research
  92. Preprint announcement: 'Finite-sample bias-correction factors for the median absolute deviation based on the Harrell-Davis quantile estimator and its trimmed modification' (2022-07-26) 1 1 Mathematics Statistics
  93. Challenges of change point detection in CI performance data (2022-07-19) Mathematics Statistics
  94. Dynamical System Case Study 2 (Piecewise linear LLL-system) (2022-07-17) Mathematics Research
  95. Degenerate point of dispersion estimators (2022-07-12) 4 Mathematics Statistics Research
  96. Untied quantile absolute deviation (2022-07-05) 3 1 Mathematics Statistics Research
  97. Middle non-zero quantile absolute deviation, Part 2 (2022-06-28) 2 3 Mathematics Statistics Research
  98. The expected number of takes from a discrete distribution before observing the given element (2022-06-21) Mathematics Statistics
  99. Folded medians (2022-06-14) 1 Mathematics Statistics Research
  100. Gastwirth's location estimator (2022-06-07) 1 1 Mathematics Statistics Research
  101. Dynamical System Case Study 1 (symmetric 3d system) (2022-06-05) Mathematics
  102. Beeping Busy Beavers and twin prime conjecture (2022-06-01) Mathematics
  103. Hodges-Lehmann-Sen shift and shift confidence interval estimators (2022-05-31) 5 Mathematics Statistics Research
  104. Statistical efficiency of the Hodges-Lehmann median estimator, Part 2 (2022-05-24) 3 3 Mathematics Statistics Research
  105. Statistical efficiency of the Hodges-Lehmann median estimator, Part 1 (2022-05-17) 3 2 Mathematics Statistics Research
  106. Expected value of the maximum of two standard half-normal distributions (2022-05-10) 1 Mathematics Statistics
  107. Expected value of the minimum of two standard half-normal distributions (2022-05-03) 1 Mathematics Statistics
  108. Unbiased median absolute deviation for n=2 (2022-04-26) 3 Mathematics Statistics Research
  109. Weighted trimmed Harrell-Davis quantile estimator (2022-04-19) 5 Mathematics Statistics Research
  110. Minimum meaningful statistical level for the Mann–Whitney U test (2022-04-12) 4 Mathematics Statistics Research
  111. Fence-based outlier detectors, Part 2 (2022-04-05) 1 Mathematics Statistics Research
  112. Fence-based outlier detectors, Part 1 (2022-03-29) 2 1 Mathematics Statistics Research
  113. Publication announcement: 'Trimmed Harrell-Davis quantile estimator based on the highest density interval of the given width' (2022-03-22) 1 4 Mathematics Statistics
  114. Asymmetric decile-based outlier detector, Part 2 (2022-03-15) 2 2 Mathematics Statistics Research
  115. Asymmetric decile-based outlier detector, Part 1 (2022-03-08) 2 2 Mathematics Statistics Research
  116. Probability of observing outliers using Tukey's fences (2022-03-01) 2 Mathematics Statistics Research
  117. Gamma effect size powered by the middle non-zero quantile absolute deviation (2022-02-22) 7 Mathematics Statistics Research
  118. Middle non-zero quantile absolute deviation (2022-02-15) 4 4 Mathematics Statistics Research
  119. Unbiased median absolute deviation based on the trimmed Harrell-Davis quantile estimator (2022-02-08) 4 2 Mathematics Statistics Research
  120. Median absolute deviation vs. Shamos estimator (2022-02-01) 2 Mathematics Statistics Research
  121. Moving extended P² quantile estimator (2022-01-25) 3 Mathematics Statistics Research
  122. Extended P² quantile estimator (2022-01-18) 5 2 Mathematics Statistics Research
  123. P² quantile estimator marker adjusting order (2022-01-11) 5 1 Mathematics Statistics Research
  124. P² quantile estimator initialization strategy (2022-01-04) 3 2 Mathematics Statistics Research
  125. Misleading geometric mean (2021-12-28) 4 Mathematics Statistics
  126. Matching quantile sets using likelihood based on the binomial coefficients (2021-12-21) Mathematics Statistics
  127. Ratio function vs. ratio distribution (2021-12-14) 3 1 Mathematics Statistics Research
  128. Shift function vs. shift distribution (2021-12-07) 3 2 Mathematics Statistics Research
  129. Preprint announcement: 'Trimmed Harrell-Davis quantile estimator based on the highest density interval of the given width' (2021-11-30) 1 4 Mathematics Statistics
  130. Non-normal median sampling distribution (2021-11-23) 1 Mathematics Statistics
  131. Misleading kurtosis (2021-11-16) 1 Mathematics Statistics
  132. Misleading skewness (2021-11-09) 2 1 Mathematics Statistics
  133. Greenwald-Khanna quantile estimator (2021-11-02) Mathematics Statistics
  134. P² quantile estimator rounding issue (2021-10-26) 1 3 Mathematics Statistics Research
  135. Trimmed Harrell-Davis quantile estimator based on the highest density interval of the given width (2021-10-19) 2 Mathematics Statistics Research
  136. Optimal window of the trimmed Harrell-Davis quantile estimator, Part 2: Trying Planck-taper window (2021-10-12) 1 Mathematics Statistics Research
  137. Optimal window of the trimmed Harrell-Davis quantile estimator, Part 1: Problems with the rectangular window (2021-10-05) 1 1 Mathematics Statistics Research
  138. Beta distribution highest density interval of the given width (2021-09-28) 1 Mathematics Statistics Research
  139. Quantile estimators based on k order statistics, Part 8: Winsorized Harrell-Davis quantile estimator (2021-09-21) 2 Mathematics Statistics Research
  140. Quantile estimators based on k order statistics, Part 7: Optimal threshold for the trimmed Harrell-Davis quantile estimator (2021-09-14) 2 1 Mathematics Statistics Research
  141. Quantile estimators based on k order statistics, Part 6: Continuous trimmed Harrell-Davis quantile estimator (2021-09-07) 2 1 Mathematics Statistics Research
  142. Quantile estimators based on k order statistics, Part 5: Improving trimmed Harrell-Davis quantile estimator (2021-08-31) 7 3 Mathematics Statistics Research
  143. Quantile estimators based on k order statistics, Part 4: Adopting trimmed Harrell-Davis quantile estimator (2021-08-24) 6 1 Mathematics Statistics Research
  144. Quantile estimators based on k order statistics, Part 3: Playing with the Beta function (2021-08-17) 3 2 Mathematics Statistics Research
  145. Quantile estimators based on k order statistics, Part 2: Extending Hyndman-Fan equations (2021-08-10) 5 4 Mathematics Statistics Research
  146. Quantile estimators based on k order statistics, Part 1: Motivation (2021-08-03) 7 4 Mathematics Statistics Research
  147. Avoiding over-trimming with the trimmed Harrell-Davis quantile estimator (2021-07-27) 5 1 Mathematics Statistics Research
  148. Optimal threshold of the trimmed Harrell-Davis quantile estimator (2021-07-20) 3 6 Mathematics Statistics Research
  149. Estimating quantile confidence intervals: Maritz-Jarrett vs. jackknife (2021-07-13) 3 Mathematics Statistics Research
  150. Using Kish's effective sample size with weighted quantiles (2021-07-06) 6 5 Mathematics Statistics Research
  151. Partial binning compression of performance series (2021-06-29) 3 Mathematics Statistics Research
  152. Calculating gamma effect size for samples with zero median absolute deviation (2021-06-22) 4 1 Mathematics Statistics Research
  153. Discrete performance distributions (2021-06-15) 4 5 Mathematics Statistics Research
  154. Customization of the nonparametric Cohen's d-consistent effect size (2021-06-08) 17 4 Mathematics Statistics Research
  155. Robust alternative to statistical efficiency (2021-06-01) 4 3 Mathematics Statistics Research
  156. Improving the efficiency of the Harrell-Davis quantile estimator for special cases using custom winsorizing and trimming strategies (2021-05-25) 2 3 Mathematics Statistics Research
  157. Comparing the efficiency of the Harrell-Davis, Sfakianakis-Verginis, and Navruz-Özdemir quantile estimators (2021-05-18) 7 1 Mathematics Statistics Research
  158. Dispersion exponential smoothing (2021-05-11) 4 3 Mathematics Statistics Research
  159. Quantile exponential smoothing (2021-05-04) 7 3 Mathematics Statistics Research
  160. Improving quantile-respectful density estimation for discrete distributions using jittering (2021-04-27) 7 1 Mathematics Statistics Research
  161. How to build a smooth density estimation for a discrete sample using jittering (2021-04-20) 3 1 Mathematics Statistics Research
  162. Kernel density estimation and discrete values (2021-04-13) 2 3 Mathematics Statistics Research
  163. Efficiency of the winsorized and trimmed Harrell-Davis quantile estimators (2021-04-06) 4 6 Mathematics Statistics Research
  164. Trimmed modification of the Harrell-Davis quantile estimator (2021-03-30) 3 11 Mathematics Statistics Research
  165. Efficiency of the Harrell-Davis quantile estimator (2021-03-23) 2 4 Mathematics Statistics Research
  166. Navruz-Özdemir quantile estimator (2021-03-16) 3 3 Mathematics Statistics Research
  167. Sfakianakis-Verginis quantile estimator (2021-03-09) 5 Mathematics Statistics Research
  168. Winsorized modification of the Harrell-Davis quantile estimator (2021-03-02) 1 8 Mathematics Statistics Research
  169. Misleading standard deviation (2021-02-23) 1 2 Mathematics Statistics Research
  170. Unbiased median absolute deviation based on the Harrell-Davis quantile estimator (2021-02-16) 4 5 Mathematics Statistics Research
  171. Unbiased median absolute deviation (2021-02-09) 5 7 Mathematics Statistics Research
  172. Comparing distribution quantiles using gamma effect size (2021-02-02) 2 1 Mathematics Statistics Research
  173. A single outlier could completely distort your Cohen's d value (2021-01-26) 2 1 Mathematics Statistics Research
  174. Better moving quantile estimations using the partitioning heaps (2021-01-19) 2 1 Mathematics Statistics Research
  175. MP² quantile estimator: estimating the moving median without storing values (2021-01-12) 2 1 Mathematics Statistics Research
  176. Case study: Accuracy of the MAD estimation using the Harrell-Davis quantile estimator (Gumbel distribution) (2021-01-05) 5 Mathematics Statistics
  177. Fast implementation of the moving quantile based on the partitioning heaps (2020-12-29) 2 Mathematics Statistics Research
  178. Coverage of quantile confidence intervals (2020-12-22) 1 1 Mathematics Statistics Research
  179. Statistical approaches for performance analysis (2020-12-15) 16 Mathematics Statistics
  180. Quantile confidence intervals for weighted samples (2020-12-08) 3 5 Mathematics Statistics Research
  181. Quantile absolute deviation: estimating statistical dispersion around quantiles (2020-12-01) 3 11 Mathematics Statistics Research
  182. P² quantile estimator: estimating the median without storing values (2020-11-24) 5 Mathematics Statistics Research
  183. Plain-text summary notation for multimodal distributions (2020-11-17) 3 1 Mathematics Statistics Research
  184. Intermodal outliers (2020-11-10) 1 2 Mathematics Statistics Research
  185. Lowland multimodality detection (2020-11-03) 5 8 Mathematics Statistics Research
  186. Quantile-respectful density estimation based on the Harrell-Davis quantile estimator (2020-10-27) 4 8 Mathematics Statistics Research
  187. Misleading histograms (2020-10-20) 2 4 Mathematics Statistics Research
  188. The importance of kernel density estimation bandwidth (2020-10-13) 9 7 Mathematics Statistics Research
  189. The median absolute deviation value of the Gumbel distribution (2020-10-06) 2 2 Mathematics Statistics Research
  190. Weighted quantile estimators (2020-09-29) 6 8 Mathematics Statistics Research
  191. Nonparametric Cohen's d-consistent effect size (2020-06-25) 7 8 Mathematics Statistics Research
  192. DoubleMAD outlier detector based on the Harrell-Davis quantile estimator (2020-06-22) 4 2 Mathematics Research Statistics
  193. How ListSeparator Depends on Runtime and Operating System (2020-05-20)
  194. How Sorting Order Depends on Runtime and Operating System (2020-05-13)
  195. How Socket Error Codes Depend on Runtime and Operating System (2020-04-27)
  196. .NET Core performance revolution in Rider 2020.1 (2020-04-14)
  197. Introducing perfolizer (2020-03-04) 1
  198. Distribution comparison via the shift and ratio functions (2019-10-11) 6 Mathematics Statistics Research
  199. Normality is a myth (2019-10-09) Mathematics Statistics
  200. Implementation of an efficient algorithm for changepoint detection: ED-PELT (2019-10-07) 1 2 Mathematics Statistics
  201. A story about slow NuGet package browsing (2018-05-08)
  202. Cross-runtime .NET disassembly with BenchmarkDotNet (2018-04-10) 1
  203. BenchmarkDotNet v0.10.14 (2018-04-09) 1
  204. BenchmarkDotNet v0.10.13 (2018-03-02)
  205. Analyzing distribution of Mono GC collections (2018-02-20)
  206. BenchmarkDotNet v0.10.12 (2018-01-15)
  207. BenchmarkDotNet v0.10.10 (2017-11-03)
  208. Reflecting on performance testing (2017-08-01) Mathematics Statistics
  209. Measuring Performance Improvements in .NET Core with BenchmarkDotNet (Part 1) (2017-06-09)
  210. BenchmarkDotNet v0.10.7 (2017-06-05)
  211. 65535 interfaces ought to be enough for anybody (2017-02-14)
  212. A bug story about named mutex on Mono (2017-02-13)
  213. InvalidDataException in Process.GetProcesses (2017-02-10)
  214. Why is NuGet search in Rider so fast? (2017-02-08)
  215. NuGet2 and a DirectorySeparatorChar bug (2017-02-06)
  216. Performance exercise: Division (2016-12-26)
  217. Performance exercise: Minimum (2016-12-20)
  218. Stopwatch under the hood (2016-09-09)
  219. DateTime under the hood (2016-08-19)
  220. LegacyJIT-x86 and first method call (2016-04-04)
  221. Visual Studio and ProjectTypeGuids.cs (2016-02-27)
  222. Blittable types (2015-11-26)
  223. RyuJIT RC and constant folding (2015-05-12)
  224. Unrolling of small loops in different JIT versions (2015-03-02)
  225. RyuJIT CTP5 and loop unrolling (2015-03-01)
  226. JIT version determining in runtime (2015-02-28)
  227. A bug story about JIT-x64 (2015-02-27)
  228. A story about JIT-x86 inlining and starg (2015-02-26)
  229. About UTF-8 conversions in Mono (2014-11-10)
  230. Happy Monday! (2014-08-11)
  231. To Refactor Or Not To Refactor? (2014-07-19)
  232. Strange behavior of FindElementsInHostCoordinates in WinRT (2014-04-29)
  233. About System.Drawing.Color and operator == (2014-02-21)
  234. Setting up build configuration in .NET (2014-02-08)
  235. Jon Skeet's Quiz (2013-11-03)
  236. Perfect code and real projects (2013-08-28)
  237. To Add Comments or Not to Add? (2013-08-28)
  238. Unexpected area to collect garbage in .NET (2013-08-08)
  239. Unobviousness in use of C# closures (2013-08-07)
  240. Wrapping C# class for use in COM (2013-06-03)

Media

2022

  1. Interview with Andrey Akinshin (DotNext 2022 Spring)
    DotNext, June 27, 2022
    RU Interview Video (YouTube)
  2. A professional benchmark: the art of performance measurements
    Habrahabr, February 24, 2022
    RU Text
  3. Benchmarking pitfalls in .NET: a fragment of a Andrey Akinshin's book
    Habrahabr, January 19, 2022
    RU Text

2021

  1. TwitterSpaces with Andrey Akinshin
    Easyperf Twitter Spaces, December 05, 2021
    EN Podcast Audio
  2. Interview with Andrey Akinshin (DotNext 2021 Moscow)
    DotNext, October 21, 2021
    RU Interview Video (YouTube)
  3. RadioDotNet-026: DotNext 2021 Piter
    RadioDotNet, April 08, 2021
    RU Podcast Audio

2020

  1. RadioDotNet-017: DotNext 2020 Moscow
    RadioDotNet, November 13, 2020
    RU Podcast Audio
  2. Null hypothesis significance testing is a terrible tool
    Habrahabr, July 30, 2020
    RU Interview Text
  3. If you see a paper that states that language X is faster than language Y, you can close it
    Habrahabr, July 28, 2020
    RU Interview Text
  4. We are doomed #12 / Andrey Akinshin - benchmarks, performance, efficient code
    We are doomed, July 23, 2020
    RU Interview Video (YouTube)
  5. Bar counter #1 / Andrey Akinshin
    Bar counter, June 04, 2020
    RU Interview Video (YouTube)
  6. RadioDotNet-006: DotNext 2020 Piter
    RadioDotNet, March 12, 2020
    RU Podcast Audio
  7. «A typical mistake is to mindlessly benchmarking everything»: an interview with Andrey Akinshin about benchmarking
    Habrahabr, February 04, 2020
    RU Interview Text

2019

  1. RadioDotNet-003: DotNext 2019 Moscow
    RadioDotNet, October 12, 2019
    RU Podcast Audio
  2. RadioDotNet-000: DotNext 2019 Piter
    RadioDotNet, May 13, 2019
    RU Podcast Audio

2017

  1. Episode 146 — The challenges of performance testing in the afterlife
    Razbor Poletov, December 05, 2017
    RU Podcast Audio
  2. Memory optimization: difficult, but sometimes necessary
    Habrahabr, March 30, 2017
    RU Interview Text
  3. How to stop attending a conference as a participant and start speaking? Tips from Andrey Akinshin
    Habrahabr, March 20, 2017
    RU Interview Text
  4. Review on Andrey Akinshin's talk about arithmetic
    Habrahabr, February 02, 2017
    RU Review Text

2016

  1. “Chaos in the .NET-world is a reasonable price for the speed of platform development”: an interview with Andrey Akinshin (JetBrains)
    Habrahabr, December 07, 2016
    RU Interview Text
  2. Episode 121 — JVM vs CLR: Alien is not against Predator!
    Razbor Poletov, November 30, 2016
    RU Podcast Audio
  3. “We are trying to ensure that the User Experience does not differ in different operating systems” - Interview with the Rider developers from JetBrains
    Habrahabr, May 26, 2016
    RU Interview Text
  4. .NET development: nine questions for adults
    Habrahabr, May 13, 2016
    RU Interview Text

2015

  1. Passport, we know you!
    National bank journal, January 13, 2015
    RU Interview Text

Open Source

GitHub GitHub: github.com/AndreyAkinshin

Active

Research Papers

Archive

Memorable contributions

Random contributions


Enterprise programming

Favorite languages: C#, Kotlin, R, LaTeX
Specialization: performance, benchmarking, statistics, algorithms

Perpetuum Software LLC / Enterra, Inc / Adaptive technologies

  • 09/2010–08/2011: Junior Software Developer
  • 09/2011–01/2013: Software Developer
  • 02/2013–09/2016: Lead Software Developer

Projects

  • PassportVision: Image recognition software based on OpenCV, Tesseract
    Team Lead (architecture design, recognition algorithms)
  • Grapholite: Multiplatform diagram editor (an analogue of MS Visio).
    Developer (algorithm development, mathematics, architecture design)
  • Knockout MVC: ASP.NET MVC wrapper for knockout.js
    Main developer (architecture design, API, client/server logic, official site, documentation, etc.)
  • UI Controls for Windows 8: A set of UI controls that will help develop true Windows Store application faster
    Main developer (architecture design, API, XAML-layout, demo project, documentation, etc.)

JetBrains

  • 10/2015–12/2020: Software Developer
  • 01/2021–03/2022: Performance Lead

Projects

  • Rider: A cross-platform .NET IDE based on the IntelliJ platform and ReSharper
    Maintainer of the NuGet and Unit Testing subsystems
    Author of a performance testing framework and a performance monitoring service

Huawei Research

  • 06/2022–09/2022: Mathematician

JetBrains

  • 11/2022–Present: Senior Performance Engineer (.NET Department)

Science

PhD in Mathematics and Computer Science (since 2013)

Sobolev Institute of Mathematics SB RAS, Laboratory of Inverse Problems of Mathematical Physics (Novosibirsk, Russia)

  • 08/2012–06/2014: Engineer
  • 07/2014–12/2016: Research scientist

Areas of expertise: mathematical biology, gene networks, differential equations with delayed argument, bifurcation theory.
Selected scholarships and grants

  • 01/2012–12/2014: The grant RFBR 12-01-00074 “Direct and inverse problems of gene networks mathematical modeling”
  • 07/2012–07/2014: The scholarships SP-561.2012.5 of the President of Russian Federation, direction: “Strategic information technology, including the creation of supercomputers and software development” (“Numerical methods for modeling and analyzing of gene networks”)
  • 01/2015–12/2017: The grant RFBR 15-01-00745 A “Dynamic characteristics of gene networks models”
  • 01/2018-12/2020: The grant RFBR 18-01-00057 A “Ring structures in gene network models”

Weizmann Institute of Science, Faculty of Mathematics and Computer Science (Rehovot, Israel)

  • 10/2014–09/2016: Postdoctoral Research Fellow

Areas of expertise: digital signal processing, Fourier transform, Gibbs phenomenon, Prony systems.


Competitive programming

Selected contests (2002-2009)


Teaching

  • 09/2006–05/2012: Coach of competitive programming and mathematics teams in Barnaul Gymnasium №42.
  • 09/2009–09/2016: Senior lecturer of computer science and mathematics in Altai Economics and Law Institute, Department of general mathematical and scientific disciplines.
  • 09/2011–11/2011: Lecturer under the Russian federal program F-263 №4 “Specialized training and retraining of specialists at the centers of education and development in information technology”.

Education

I.I. Polzunov Altai state technical university, Faculty of Information Technologies (Barnaul, Russia)


Certificates and Awards

Microsoft MVP (Most Valuable Professional)

  • 2015
  • 2016
  • 2017-2018
  • 2018-2019

Russian state registration certificates of Computer Programs

  • Phase Portrait Analyzer (Russian state registration certificate of Computer Programs №2013660415)
    Software for analyzing of some nonlinear differential equation system
  • Neuro Biomarker Analyzer (Russian state registration certificate of Computer Programs №2015612396)
    Software for the diagnostic and prognostic values evaluation of biochemical parameters of serum biomarkers in peripheral blood for the differential diagnosis of neurological syndromes of lumbar degenerative disc disease

Microsoft

Coursera: The Data Science Specialization

  1. The Data Scientist’s Toolbox: certificate (verifiable)
  2. R Programming: certificate (verifiable)
  3. Getting and Cleaning Data: certificate (verifiable)
  4. Exploratory Data Analysis: certificate (verifiable)
  5. Reproducible Research: certificate (verifiable)
  6. Statistical Inference: certificate (verifiable)
  7. Regression Models: certificate (verifiable)
  8. Practical Machine Learning: certificate (verifiable)
  9. Developing Data Products: certificate (verifiable)
  10. Data Science Capstone: certificate (verifiable)

Coursera