Summary
Nayan Chaudhary is a Principal Data Scientist with 10+ years applying causal inference, predictive ML, and AI to multimodal Real World Data across the drug development lifecycle, currently driving RWD strategy and execution at Genentech. He has led end-to-end oncology RWE studies, translated clinico-genomic insights into mutation-detection methods published in Nature journals, and scaled impact through playbooks, dashboards, and an org-wide Impact Statement framework. Comfortable at the intersection of research and product, he forges external academic partnerships and evaluates cutting-edge tooling—recently prototyping agentic AI, federated learning, and MLOps—to inform platform adoption. His background in materials informatics and early work showing parity between classical ML and vendor models reflect a pragmatic, research-forward approach to complex, heterogeneous datasets.
10 years of coding experience
7 years of employment as a software developer
Indian Institute of Technology Roorkee
Master’s Degree, Computer Science & Engineering, Master’s Degree, Computer Science & Engineering at Texas A&M University
English, Hindi