Peter Relich is a research scientist with a PhD in physics and a decade of experience applying physical models and machine learning to challenging image- and coordinate-based data problems. He has built and productionized single particle tracking and clustering software for biological imaging at UNM and UPenn, integrating high-throughput hardware like 10G links and sCMOS cameras. Comfortable porting algorithms between CUDA and OpenCL, he blends hands-on parallel implementation skills with a strong, physics-rooted intuition for information theory. Known for unconventional solutions—such as using N-body simulations for 2-D clustering—he focuses on messy experimental datasets that break standard algorithmic assumptions. Based in Chino Hills, CA, he enjoys turning massive lists and coordinate streams into clear visualizations and actionable analysis.
10 years of coding experience
10 years of employment as a software developer
M.S., Physics, M.S., Physics at San José State University
Doctor of Philosophy - PhD, Physics, A++, Doctor of Philosophy - PhD, Physics, A++ at University of New Mexico
Master's degree, Physics, Master's degree, Physics at The Department of Physics and Astronomy at San Jose State University
Contributions:2 pushes, 1 branch in 2 years 5 months
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Peter Relich - Research Scientist at Intellisense Systems, Inc.