Chirag Agarwal
Assistant Professor at University of Virginia
Charlottesville, Virginia, United States
Summary
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Senior🎓
Top SchoolChirag Agarwal is an Assistant Professor in the School of Data Science at UVA and founder of the Agyeya Artificial IQ Foundation, combining academic leadership with a mission to democratize ML research and training in India. With a decade of experience spanning postdoctoral research at Harvard, industry R&D at Adobe, and applied roles across healthcare and AR, he focuses on Trustworthy AI, explainability, and robust deep learning architectures. His PhD work introduced unstructured neural networks and practical generative explainable-AI methods that improve object localization and hyperparameter robustness. He leads the Aikyam lab, translating theory into tools and collaborations that prioritize community impact and open research. Notably, his work blends novel model design with medical and AR applications, reflecting a rare mix of methodological rigor and real-world problem solving. Based in Charlottesville, he’s actively building the next generation of AI practitioners through open collaboration and training initiatives.
10 years of coding experience
4 years of employment as a software developer
Postdoctoral Research Fellow, Postdoctoral Research Fellow at Harvard UniversityDoctor of Philosophy (PhD), Electrical and Computer Engineering, 3.9/4, Doctor of Philosophy (PhD), Electrical and Computer Engineering, 3.9/4 at University of Illinois at Chicago
English, Hindi, Bengali
Github Skills (31)
benchmark10
evaluation10
gnn10
benchmarking10
variance10
leaderboard10
sensitivity9
xai9
hyperparameters9
classifiers9
generative9
arxiv9
deep-learning8
machine-learning7
computer-vision6
Programming languages (5)
Github contributions (5)
chirag126/Automatic_Alzheimer_Detection
Jan 2018 - Apr 2019
Contributions:11 commits, 8 pushes, 1 branch in 1 year 3 months
AI4LIFE-GROUP/OpenXAI
Jun 2022 - Jan 2023
OpenXAI : Towards a Transparent Evaluation of Model Explanations
Contributions:25 commits, 3 PRs, 18 pushes in 7 months
leaderboardtransparentinterpretabilityexplanationsevaluation
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