Summary
Rohit Suratekar is a Senior Lead Data Scientist with a PhD who blends quantitative biology and ML to deliver regulatory‑grade ECG‑AI and real‑world evidence for cardiology across health systems, pharma, and consortia. Over a decade he has designed and led end‑to‑end observational studies and production ML pipelines on datasets covering 40M+ patients and multiple large clinical trials, contributing to an FDA breakthrough device for cardiac amyloidosis. He builds agentic AI workflows that cut cohort generation time by ~40%, drives clinical validation across external sites and consortia, and authors regulatory‑ready documentation and QMS artifacts. As a people leader, he mentors and scales multidisciplinary teams to produce reproducible, interpretable models fit for submission, while maintaining hands‑on expertise in survival/causal inference and ECG explainability. Notably, his background in mathematical modelling and genomics gives him uncommon depth for translating mechanistic biology into robust clinical ML.
11 years of coding experience