Chirag Nagpal
Senior AI Research Scientist at Meta
San Francisco, California, United States
Summary
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Rockstar🎓
Top SchoolChirag Nagpal is a Senior AI Research Scientist based in San Francisco with a PhD from Carnegie Mellon’s School of Computer Science and about five years of industry research experience. He blends classical statistical methods—graphical models, causal inference, and survival analysis—with modern deep learning, producing practical advances in machine learning for healthcare and responsible AI. His internships at Google Brain, IBM TJ Watson, and a summer at J.P. Morgan seeded publications on survival regression and Bayesian consensus methods, and he later moved into LLM alignment and post-training work at Google and Meta. He’s comfortable taking ideas from theory to deployment, evidenced by papers like Deep Cox Mixtures and cross-disciplinary projects that address uncertainty in real-world forecasts. Colleagues know him for bridging rigorous probabilistic thinking with pragmatic engineering to improve model reliability in high-stakes domains.
5 years of coding experience
9 years of employment as a software developer
Bachelor of Engineering (B.E.) Computer Engineering, Bachelor of Engineering (B.E.) Computer Engineering at Army Institute of Technology, PunePhD School of Computer Science, PhD School of Computer Science at Carnegie Mellon University
Github Skills (60)
python10
puzzle10
machine-learning10
deep-learning10
tensorflow10
data-science9
fundamental9
pandas9
gradient-descent9
manipulation9
ml9
numpy9
blas9
ndarray9
interpolation9
Programming languages (5)
Github contributions (5)
DuanBoomer/Tellstones-3.0
Aug 2021 - May 2024
Contributions:1 release, 18 pushes, 1 branch in 2 years 9 months
DuanBoomer/DuanBoomer
Aug 2021 - Oct 2024
Contributions:35 pushes, 1 branch in 3 years 2 months
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