Alex Bokov is a data scientist with 11 years of experience based in San Antonio, Texas, combining deep biomedical training (Ph.D. in Physiology) with applied statistical expertise (M.S. in Applied Statistics) to work at the intersection of healthcare data and research. At UTHSCSA he focuses on extracting actionable insights from electronic medical records and other clinical datasets to improve outcomes and operational decision-making. He values practical, runnable code and strong SQL skills, and prefers collaborators who contribute to open source and community knowledge. Comfortable translating complex biological questions into reproducible analytics pipelines, he brings both domain fluency and hands-on data engineering to projects aimed at saving lives.
11 years of coding experience
Doctor of Philosophy (Ph.D.), Physiology, Doctor of Philosophy (Ph.D.), Physiology at The University of Texas Health Science Center at San Antonio
University of Texas at San Antonio
Bachelor of Science (B.S.), Cell/Cellular and Molecular Biology, Bachelor of Science (B.S.), Cell/Cellular and Molecular Biology at University of Michigan
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.