Chandan Singh
Senior Researcher at Microsoft
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolChandan Singh is a senior researcher at Microsoft Research with a decade of experience specializing in interpretable machine learning and trustworthy deep learning. He completed a PhD at UC Berkeley under Prof. Bin Yu, developing methods to make complex models understandable across domains and teaching core ML and AI courses. His work spans healthcare and vision applications—building interpretable diagnostics for pathology at Paige and measuring bias in computer vision at AWS—grounded in strong mathematical foundations from a 4.0 UVA degree. Known for bridging theory and practice, he brings neuroscience- and biophysics-informed perspectives from earlier research to practical ML problems, aiming to “do good with models.”
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at UC Berkeley Electrical Engineering & Computer Sciences (EECS)Bachelor’s Degree, Mathematics and Computer Science, 4.0, Bachelor’s Degree, Mathematics and Computer Science, 4.0 at University of Virginia
English, Hindi, Spanish
Github Skills (20)
artificial-intelligence10
machine-learning-models10
fairness-ml10
machine-learning9
generative-ai9
ai9
python8
data-science8
nlp5
topic-modeling5
nodejs5
lda5
javascript4
natural-language-processing4
modeling4
Programming languages (4)
Github contributions (5)
chisingh/fairlearn
Feb 2020 - Dec 2021
A Python package that implements a variety of algorithms that mitigate unfairness in supervised machine learning.
Contributions:94 pushes, 4 branches in 1 year 10 months
pythonsupervisedmachine-learningvarietypython-package
microsoft/datamations
Apr 2021 - Dec 2022
Contributions:24 reviews, 126 commits, 40 PRs in 1 year 7 months
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