Lukas Miaskiwskyi is a risk manager with a PhD in mathematics who blends deep theoretical expertise in infinite-dimensional quantum symmetries with five years of experience applying quantitative methods in financial institutions. He has transitioned from independent academic research—publishing new results on Gelfand-Fuks cohomology and the Virasoro algebra—to practical roles in advanced analytics and risk at Rabobank and ASR. Comfortable with both rigorous proofs and data engineering/BI, he brings a rare combination of abstract mathematical thinking and hands-on implementation. Lukas is also an active contributor to the Lean mathlib4 community, where he helped port foundational mathematical structures between language versions, underscoring his attention to correctness and tooling. Based in Utrecht, he thrives on modernizing neglected literature and translating complex theory into actionable analytics.
4 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Mathematische Physik, 1.0 (Best possible grade), Master of Science - MS, Mathematische Physik, 1.0 (Best possible grade) at The Julius Maximilians University of Würzburg
Contributions:32 reviews, 67 commits, 67 PRs in 1 month
Contributions summary:Lukas primarily contributed to porting and integrating mathematical functions and data structures from Lean 3 to Lean 4 within the mathlib4 library. They ported `Data.Int.Sqrt` and `Order.FixedPoints`. Furthermore, they contributed to porting `Data.Set.Intervals.OrdConnected`, `Order.Monotone.Extension`, and `Data.Int.NatPrime`, indicating a focus on foundational mathematical structures. The user's efforts were vital for the ongoing development of the core mathematical libraries in Lean 4.
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