Michael Nowotny

Los Angeles, California, United States
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Summary

👤
Senior
🎓
Top School
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.
code10 years of coding experience
job11 years of employment as a software developer
bookPh.D. Finance, Ph.D. Finance at UCLA Anderson School of Management
bookDiplom Economics, Diplom Economics at University of Mannheim
languagesGerman, English
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Github Skills (57)

iid10
exploratory10
python10
resampling10
pure-python10
bayesian10
science10
algebra9
computer-algebra9
computer-algebra-system9
math9
curve-fitting9
api9
bayesian-inference9
cudnn9

Programming languages (4)

C++Jupyter NotebookCythonPython

Github contributions (5)

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michaelnowotny/state_space

Feb 2020 - Apr 2021

Symbolic Linear State Space Models
Contributions:27 commits, 8 pushes in 1 year 2 months
state-space-modelsstate-spacesymboliclinear
michaelnowotny/cocos

Mar 2019 - Sep 2021

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
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Michael Nowotny