Michael 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.
10 years of coding experience
11 years of employment as a software developer
Ph.D. Finance, Ph.D. Finance at UCLA Anderson School of Management
Diplom Economics, Diplom Economics at University of Mannheim
Numeric and scientific computing on GPUs for Python with a NumPy-like API
Contributions:168 commits, 162 pushes, 2 branches in 2 years 6 months
cudaapigpu-programmingpythongpu-acceleration
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.