Martin Modrák
Research Statistician
Prague, Prague, Czechia
Summary
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Rockstar🎓
Top SchoolMartin Modrák is a research statistician and research programmer based in Prague with 11 years of experience applying statistical computing to bioinformatics and scientific research. He holds a PhD in Artificial Intelligence and has a strong systems background across C++, R, Java, PHP, Elm and probabilistic programming (Stan), contributing to core projects like stan and the Stan Math library. Martin focuses on Bayesian methods and communicating complex quantitative insights to non-experts, while also improving reliability through test automation and refactoring. His career spans academia, the Czech Academy of Sciences, and industry roles including experimental game AI and leading small engineering teams, reflecting a blend of rigorous research and practical software engineering. A less obvious strength is his experience adding robust exception handling and standalone function compilation to math-heavy C++ codebases, which helps bridge cutting-edge statistics and production-quality software.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Charles University in Prague
Stackoverflow
746reputation
185kreached
15answers
3questions
Github Skills (28)
bayesian-statistics10
unit-testing10
c-language10
r-package10
r10
math10
maths10
math-functions10
bayesian10
statistical-models10
stan10
cprogramming-language10
bayesian-inference10
test-automation10
exception-handling9
Programming languages (16)
Github contributions (5)
stan-dev/math
Jul 2018 - Apr 2020
The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:1 review, 163 commits, 13 PRs in 1 year 8 months
Contributions summary:Martin's contributions primarily focused on improving the reliability and robustness of the Stan Math Library. They implemented exception handling for invalid environment variables related to thread counts, ensuring the library can handle these cases gracefully. The user also added and improved unit tests to validate the behavior of the library in different scenarios, including testing for extreme values and the handling of various values in the thread count environment variable. This involved refactoring tests and improving the precision of results.
automatic-differentiationprobabilistic-modelingsundialsmodestemplate-library
stan-dev/stan
Apr 2017 - May 2018
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
Role in this project:Back-end Developer
Back-end DeveloperContributions:29 commits, 3 PRs, 2 pushes in 1 year 1 month
Contributions summary:Martin primarily contributed to the core Stan development repository, focusing on the addition and modification of mathematical functions. Their work includes refactoring of code and addition of new function instantiations. The changes also touch upon adding support for standalone function compilation. The user demonstrates knowledge in C++ and software engineering.
bayesian-inferencestanmasterbayesian-statisticsdetails
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