Scholar
Kush R. Varshney
Google Scholar ID: hMZMhLoAAAAJ
IBM Research
Citations & Impact
Citations
11,911
H-index
42
i10-index
119
Publications
20
Co-authors
190
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Created several well-known open-source toolkits including AI Fairness 360, AI Explainability 360, Uncertainty Quantification 360, and AI FactSheets 360, as well as the Granite Guardian model family. Awarded Extraordinary IBM Research Technical Accomplishment for contributions to workforce innovation and enterprise transformation, and IBM Corporate Technical Awards for Trustworthy AI and AI-Powered Employee Journey. Independently published a book entitled 'Trustworthy Machine Learning' in 2022.
Research Experience
- An IBM Fellow based at the Thomas J. Watson Research Center, Yorktown Heights, NY, where he directs Human-Centered Trustworthy AI research. Co-founded and directed the IBM Science for Social Good initiative from 2015-2023. Visiting scientist at IBM Research - Africa, Nairobi, Kenya in 2019.
Education
- Received B.S. degree (magna cum laude) in electrical and computer engineering with honors from Cornell University, Ithaca, NY, in 2004; S.M. degree in 2006 and Ph.D. degree in 2010, both in electrical engineering and computer science from MIT, Cambridge. A National Science Foundation Graduate Research Fellow during his time at MIT.
Background
- Born in 1982, Syracuse, New York. Research interests include the application of data science and predictive analytics to human capital management, healthcare, olfaction, computational creativity, public affairs, international development, and algorithmic fairness.
Miscellany
- Fellow of the IEEE.
