Kush Varshney
Research Staff Member And Manager at IBM Thomas J. Watson Research Center
Town of Yorktown, New York, United States
Summary
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Rockstar🎓
Top SchoolKush Varshney is a research staff member and manager at IBM Thomas J. Watson Research Center with 11 years of post-PhD experience applying mathematical sciences to trustworthy machine learning and AI for social good. He authored the book "Trustworthy Machine Learning," signaling both deep technical expertise and a commitment to accessible scholarship. His work spans theory, algorithms, and applied data science, and he has a track record of mentoring students as an adjunct advisor at NYU. Trained at MIT (SM, PhD) and Cornell (BS), Kush blends rigorous academic foundations with long-term industrial research leadership. A less obvious strength is his sustained engagement across national labs, international research visits, and industry internships, reflecting a rare mix of theoretical depth and practical systems experience.
11 years of coding experience
1 year of employment as a software developer
S.M., Electrical Engineering and Computer Science, S.M., Electrical Engineering and Computer Science at Massachusetts Institute of TechnologyB.S., Electrical and Computer Engineering, B.S., Electrical and Computer Engineering at Cornell UniversityFayetteville-Manlius High School
English, Hindi
Github Skills (17)
artificial-intelligence10
python10
machine-learning-models10
r10
datasets10
ai10
fairness-ml10
bias-detection10
discrimination10
image9
image-processing9
machine-learning9
deep-learning9
computer-vision8
generalization8
Programming languages (2)
Github contributions (5)
krvarshney/krvarshney.github.io
Jan 2015 - Sep 2024
Contributions:228 pushes in 9 years 10 months
IBM/OoD
Mar 2020 - Mar 2021
Repository for theory and methods for Out-of-Distribution (OoD) generalization
Contributions:5 commits, 4 PRs, 5 pushes in 1 year
generalizationood-generalizationoptimizationoodtheory
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