Summary
Mark Rubin is a theoretical physicist and seasoned data scientist based in Greater Boston with over three decades of research experience and eight years in applied data science roles. He specializes in foundations of quantum mechanics—particularly locality and probability in the Everett interpretation—while also bringing deep technical skills in numerical quantum mechanics, quantum sensing, and anomaly detection. Mark has led ML teams and developed production fraud-detection systems for financial services, and his background includes extensive algorithm and simulation development in C++, Python, Matlab and T-SQL for government labs and industry. His career uniquely blends high-energy and string-theory pedigree (PhD from the University of Chicago) with practical engineering across embedded firmware, computer graphics, and enterprise analytics. Less obvious: he has repeatedly shifted between blue-sky theoretical work and mission-critical applied projects, producing influential papers (e.g., on NOON-state loss) and reusable simulation/tooling that persist in lab and defense programs.
8 years of coding experience
18 years of employment as a software developer
Bachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at The Cooper Union for the Advancement of Science and Art
Doctor of Philosophy (PhD), Theoretical High-Energy Physics, Doctor of Philosophy (PhD), Theoretical High-Energy Physics at The University of Chicago