Arjun Narayanan
Research Scientist at Meta
Albany, California, United States
Summary
👤
Senior🎓
Top SchoolArjun Narayanan is a research scientist with 11 years of experience applying machine learning and reinforcement learning to automate complex, simulation-driven problems in biomedical imaging and engineering. He built end-to-end workflows at UC Berkeley that turn cardiac medical images into simulation-ready, patient-specific heart models in minutes rather than hours, and extended RL/Monte Carlo tree search methods to optimize mesh connectivity for 3D applications. Now at Meta, he handles end-to-end ML pipelines for advanced wearables, merging research rigor with production engineering. His background spans academic fellowships at Stanford and hands-on industry roles at Siemens Healthineers and Siemens, giving him a rare blend of computational mechanics, imaging, and applied ML expertise. Colleagues find him equally comfortable coaching engineers and students as he is designing scalable inference and training systems.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Mechanical Engineering, Doctor of Philosophy - PhD Mechanical Engineering at University of California, BerkeleyBachelor of Technology (B.Tech.) Civil Engineering, Bachelor of Technology (B.Tech.) Civil Engineering at National Institute of Technology KarnatakaMaster of Science (M.S.) Civil Engineering, Master of Science (M.S.) Civil Engineering at Stanford University
English, Hindi, Tamil
Github Skills (72)
interval-arithmetic9
julia9
science9
imaging9
machine-learning9
computer-vision8
floating8
programming-language8
deep-q-network8
medical-image-computing8
hpc8
pytorch8
medical-image-processing8
numerical8
complex-numbers7
Programming languages (2)
Github contributions (5)
ArjunNarayanan/HDGElasticity.jl
Apr 2020 - Sep 2020
Contributions:145 commits, 45 pushes, 4 branches in 4 months
ArjunNarayanan/ImplicitDomainQuadrature
Jan 2020 - Jul 2021
Contributions:136 pushes, 8 branches in 1 year 6 months
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