Summary
Roman Popov is a Research Data Scientist with a decade of experience applying machine learning to healthcare and commercial problems, currently driving movement-disorder research at the Cleveland Clinic. He blends a strong academic background in neuroscience and complex systems with hands-on industry impact—building production fraud detection, customer classification, image-recognition, and entity-resolution systems at WEX that scaled campaigns and saved millions. Roman has managed large, multi-center medical imaging datasets and built tracking infrastructure for ENIGMA-style collaborations, reflecting both research rigor and operational discipline. Comfortable moving models from research to production, he brings a rare mix of theoretical physics training and practical data science outcomes—often improving recall and reach in highly imbalanced, high-stakes settings.
10 years of coding experience
3 years of employment as a software developer
Master's degree Neuroscience, Master's degree Neuroscience at University of Vermont
Bachelor of Science (BS) Theoretical and Mathematical Physics, Bachelor of Science (BS) Theoretical and Mathematical Physics at Voronezh State University
English, Russian