Simas Glinskis is a Staff Machine Learning Engineer in New York with 11 years of experience pivoting from a Physics PhD into applied deep learning and data science. He has progressed from foundational research—where he developed novel fabrication and analysis techniques as the sole graduate student—to building production AI at health-tech companies like Covera Health and now hims & hers. His work spans reinforcement learning prototypes (adaptive PPO agents), medical imaging and clinical AI, and predictive models that informed business decisions in high‑fashion retail. Comfortable bridging rigorous quantitative research and product-focused ML, he brings both experimental independence and cross-disciplinary collaboration to complex problems. Notably, his background in experimental condensed-matter physics informs a meticulous, bias-aware approach to data analysis and model validation.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Arts (B.A.), Physics, Bachelor of Arts (B.A.), Physics at Columbia University
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of Chicago
Contributions:20 commits, 16 pushes, 1 branch in 6 months
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