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.
10 years of coding experience
6 years of employment as a software developer
B.Tech. Biotechnology, B.Tech. Biotechnology at National Institute of Technology Allahabad
Doctor of Philosophy (Ph.D.) Mathematical Modelling, Doctor of Philosophy (Ph.D.) Mathematical Modelling at National Centre for Biological Sciences
Contributions:1 release, 59 commits, 16 PRs in 5 months
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