Harshay Shah
Research Scientist at Google DeepMind
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolHarshay Shah is a research scientist based in New York with 11 years of experience at the intersection of machine learning research and applied systems. He completed a PhD in Computer Science (Machine Learning) at MIT and has held research roles at Google, Microsoft, and Apple, culminating in a Research Scientist position at Google DeepMind. His background spans academia and industry—from undergraduate research at UIUC to research fellowships and internships—demonstrating a track record of moving ideas from lab to product-focused environments. Notably, he blends deep theoretical training with practical engineering experience gained during early software internships, making him comfortable both with cutting-edge ML research and production-grade systems.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science (Machine Learning), Doctor of Philosophy - PhD, Computer Science (Machine Learning) at Massachusetts Institute of TechnologyBachelor's Degree, Computer Science, Statistics, Bachelor's Degree, Computer Science, Statistics at University of Illinois Urbana-Champaign
Github Skills (36)
data-structure9
python-interactive9
arxiv9
coding8
igraph7
network-graph7
edx7
python7
wolfram-language7
data-structures6
mathematics6
anki6
algorithm6
graph-algorithms6
random-walk6
Programming languages (3)
Github contributions (5)
harshays/simplicitybiaspitfalls
Oct 2020 - Sep 2021
The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)
Contributions:10 commits, 1 PR, 11 pushes in 11 months
arxivabsneurips-2020deep-learningneurips
harshays/prioritize
Feb 2015 - Apr 2015
Contributions:53 commits, 39 pushes, 1 branch in 1 month
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