Summary
Eric Metodiev is a Ph.D. candidate in theoretical physics at MIT with nine years of research experience at the intersection of particle physics, mathematics, and machine learning, developing data-driven techniques for collider physics informed by quantum field theory. He has a strong experimental and computational background from roles at Brookhaven, KAIST, and the Institute for Quantum Computing, and practical finance exposure from a Jane Street trading internship. A gifted educator, he earned the Derek C. Bok Award for teaching while serving as a Harvard teaching fellow. His work spans precision instrumentation, quantum cryptography algorithms, and statistical modeling, reflecting an uncommon blend of theoretical insight and hands-on experimental design. Based in the New York City area, he brings a rare cross-disciplinary perspective that translates deep physics concepts into novel ML-driven tools for high-energy experiments.
9 years of coding experience
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at Massachusetts Institute of Technology
Master of Arts (M.A.), Physics, Master of Arts (M.A.), Physics at Harvard University
High School Degree, High School Degree at West Islip Senior High School
English, Bulgarian, Spanish