Michael Nowotny
Los Angeles, California, United States
Summary
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SeniorMichael Nowotny is a founder and quantitative finance expert who has translated a decade of academic and research experience into blockchain-native market structure innovation. A former Boston University mathematical finance professor and UCLA PhD, he has built probabilistic programming libraries and simulation frameworks for continuous-time jump-diffusions and dynamic asset allocation. As co-founder and CEO of Krypton Labs he operationalized Fisher Black’s “fully continuous exchange” concept to dramatically lower trading and market-making costs and to mitigate MEV, front-running, and adverse selection. His work blends deep theoretical tools—Malliavin derivatives, adaptive characteristic-function methods—and hands-on protocol design, raising institutional capital and shipping production-grade crypto infrastructure. Now based in Los Angeles, he’s currently iterating on a new stealth fintech venture that continues his theme of rigorous, physics-like approaches to economically efficient exchange design. An uncommon strength is his ability to span symbolic mathematical research, GPU-accelerated Monte Carlo software, and real-world decentralized protocol engineering.
11 years of coding experience
Github Skills (37)
python10
resampling10
bayesian10
computer-algebra9
computer-algebra-system9
science9
scientific-computing8
state-space8
math8
bootstrap8
testing7
unit-testing7
algorithms7
numpy7
arrayfire7
Programming languages (7)
Github contributions (5)
michaelnowotny/divergence
Jun 2020 - Jul 2020
Information Theoretic Measures of Entropy and Divergence
Contributions:52 commits, 80 pushes, 3 branches in 1 month
InvestmentSystems/recombinator
Jun 2019 - Mar 2022
Recombinator is a Python package for statistical resampling in Python. It provides various algorithms for the iid bootstrap, the block bootstrap, as well as optimal block-length selection.
Contributions:1 review, 23 commits, 2 PRs in 2 years 9 months
bootstrappythonresampling
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