Summary
Michael Lomnitz is a Principal Computer Scientist at SRI International with 11 years of experience applying physics-rooted rigor to machine learning and large-scale data problems. Trained as a nuclear physicist (PhD), he transitioned from modeling rare particle events and developing ultra-fast C++ Monte Carlo generators to building data-driven vision systems and ML solutions for defense and research applications. His background gives him deep expertise in statistics, simulation, and experimental design, enabling him to translate complex physical models into practical algorithms. Based in the San Francisco Bay Area, he has moved fluidly between R&D roles and mission-focused data science at organizations like In-Q-Tel and Berkeley Lab, where his work informed detector design and accelerator studies. Notably, he combines hands-on systems development with an experimentalist鈥檚 attention to uncertainty, making him adept at extracting signals from noisy, sparse datasets.
11 years of coding experience
4 years of employment as a software developer
Universidad Nacional Aut贸noma de M茅xico (UNAM)
Doctor of Philosophy - PhD Nuclear Physics, Doctor of Philosophy - PhD Nuclear Physics at Kent State University