Summary
Michal Balcerak is an associate researcher at the ETH AI Center and a PhD candidate at the University of Zurich (with ties to ETH AI Center) specializing in energy-based models, inverse problems, and computational biology. With 11 years of experience spanning academic research at Harvard and CERN, fintech R&D, and hardware-software co-design for genome mapping, he blends deep mathematical physics, PDE-constrained optimization, and machine learning to tackle biological and medical inverse problems. He has applied hybrid neural-classical methods to tumor and cancer cell localization using PDE priors, and previously built ML frameworks for LHC collision topology identification and quantitative trading state classifiers. Michal’s background in physics, mathematics, and engineering gives him a rare cross-disciplinary fluency—equally comfortable deriving model theory and engineering performant implementations. He is open to collaborations and conversations across research and industry.
11 years of coding experience
3 years of employment as a software developer
Master's degree, Physics, Master's degree, Physics at The University of Göttingen
AGH University
Entrepreneurship/Entrepreneurial Studies, Entrepreneurship/Entrepreneurial Studies at Startup School Online
Bachelor's degree, Physics, Bachelor's degree, Physics at Jagiellonian University
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Zurich