Akshay Jagadish
Research Fellow at The Princeton Laboratory for Artificial Intelligence
New Jersey, United States
Summary
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Senior🎓
Top SchoolAkshay Jagadish is a research fellow at the Princeton AI Lab who blends cognitive science and AI to build scalable sub-symbolic models and to extract interpretable symbolic programs that explain behavior. With nine years of research experience and a PhD in Computer Science and an MSc in Computational Neuroscience from the University of Tübingen, he applies frameworks like meta-learning, ecological and resource-rationality to bridge human and machine cognition. His trajectory spans top research labs across Europe and the US—from Max Planck and Helmholtz to ETH and Harvard programs—bringing a strong experimental and computational neuroscience background to ML questions. He has a practical record of translating theory into applied systems, from 3D reconstruction work at Wadhwani AI to high-resolution fMRI modeling, and his research has attracted mainstream press attention. Notably, he combines deep probabilistic and meta-learning techniques with efforts to recover human-interpretable programmatic structure, a rare dual focus that informs both model scaling and explainability.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of TübingenBachelor of Technology - BTech Electrical and Electronics Engineering, Bachelor of Technology - BTech Electrical and Electronics Engineering at National Institute of Technology Karnataka
English, Hindi, Kannada, Telugu, German
Github Skills (49)
machine-learning7
convex-hull7
gaussian7
pointnet6
classification6
segmentation5
stochastic-processes5
siggraph5
gaussian-processes5
python5
geometry5
causal5
pytorch5
vscode4
autoencoder4
Programming languages (7)
Github contributions (5)
akjagadish/vanilla-llama
Apr 2023 - Apr 2024
Plain pytorch implementation of LLaMA
Contributions:6 PRs, 298 pushes, 3 branches in 1 year
akjagadish/akjagadish.github.io
Dec 2016 - Mar 2025
Personal Website
Contributions:8 PRs, 196 pushes, 8 branches in 8 years 4 months
react
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