Tanya Marwah
Researcher at Google DeepMind
New York, New York, United Kingdom
Summary
👤
Senior🎓
Top SchoolTanya Marwah is a researcher specializing in machine learning and AI for scientific discovery, with 11 years of experience advancing accurate models and simulations of complex phenomena. Currently at Google DeepMind after a PhD in Machine Learning at Carnegie Mellon, she blends rigorous academic training with hands-on research across industry labs and foundations. Her work has spanned improving LLM reasoning with continuous embeddings at Microsoft, out-of-distribution generalization at Google Blueshift, and short-term research fellowships at the Simons Foundation and Polymathic AI. Tanya focuses on building tools that accelerate discovery, pairing theoretical rigor with practical systems thinking. Based in New York and originally trained in robotics and EECE from IIT Hyderabad and CMU, she brings a cross-disciplinary approach that bridges ML, robotics, and scientific simulation. A quietly creative angle of her profile is a knack for translating domain-specific physics constraints into ML models that generalize beyond standard benchmarks.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Technology (B.Tech.), Electrical, Electronics and Communications Engineering, Bachelor of Technology (B.Tech.), Electrical, Electronics and Communications Engineering at Indian Institute of Technology HyderabadDoctor of Philosophy, Artificial Intelligence, Doctor of Philosophy, Artificial Intelligence at Carnegie Mellon University
Github Skills (11)
tensorflow6
resnet5
recurrent-neural-networks5
reinforcement-learning2
graph1
automatic-differentiation1
deep-reinforcement-learning1
machine-learning1
deep-learning1
deep-neural-networks1
3d1
Programming languages (4)
Github contributions (5)
tm157/dotfiles
Feb 2018 - Nov 2021
Contributions:172 commits, 159 pushes, 2 branches in 3 years 10 months
tm157/tm157.github.io
Dec 2023 - Mar 2026
Contributions:59 pushes, 5 branches in 2 years 4 months
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