Peter Cooman is an applied data scientist and lecturer with 11 years of experience translatingBiomedical engineering research into production-ready analytics and visualizations. He combines a PhD in Biomedical/Medical Engineering and systems-and-control training with industry roles at Civis Analytics and Tempus AI, where he builds data-driven visual tools and applied models for healthcare and policy. His academic work on restoring motor function and diagnosing stroke mechanisms informs a pragmatic approach to noisy biological data and causal inference in production. Based in the Greater Chicago Area, he now teaches at the UChicago Data Science Institute while continuing to deliver visualization engineering that bridges research insight and clinical impact.
11 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Biomedical/Medical Engineering, Doctor of Philosophy (Ph.D.) Biomedical/Medical Engineering at Case Western Reserve University
M.Sc. Systems & Control Biomedical Engineering, M.Sc. Systems & Control Biomedical Engineering at Delft University of Technology
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.