Michal Rolinek is head of Quantitative Research at Second Foundation with nine years of experience bridging academic math and applied quant strategies. His career moves from a PhD in combinatorial optimization and postdoctoral AI research at the Max Planck Institute to hands-on quant roles at G-Research and leadership at Second Foundation, reflecting both theoretical depth and production-facing analytics. He began as a cryptographer and Google PhD intern, and still runs mathematics problem-solving seminars and competitions—an indication of his ongoing commitment to pedagogy and talent development. Based in Prague, he combines rigorous mathematical foundations with practical model-building and team leadership, often bringing contest-style problem intuition to complex quantitative problems.
9 years of coding experience
5 years of employment as a software developer
ZŠ Emy Destinové
Master's degree, Mathematical analysis, Master's degree, Mathematical analysis at Univerzita Karlova v Praze
Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solvers"
Contributions:13 commits, 1 PR, 7 pushes in 1 year
factorizationsolversmethodtorchwrap
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