NISHEETH K. VISHNOI
NISHEETH K. VISHNOI
Nisheeth Vishnoi is the A. Bartlett Giamatti Professor of Computer Science at Yale University. His research spans artificial intelligence, algorithms, optimization, and the societal consequences of computation.
RESEARCH
My current work focuses broadly on AI alignment and safety, including how AI affects human judgment, learning, delegation, incentives, institutions, and long-run human capability. I also continue to work on foundational questions in algorithms, optimization, fairness, and learning.
CURRENT RESEARCH THEMES
AI alignment and safety. How AI systems affect learning, verification, delegation, incentives, and long-run human capability.
Algorithmic fairness and institutional design. Mathematical models of bias, representation, strategic behavior, and equitable decision-making.
Optimization and learning. Algorithms for convex optimization, sampling, geometry, and learning in diffusion models.
Computation, intelligence, and society. Conceptual and theoretical work on intelligence, awareness, agency, and the social meaning of AI.
PUBLICATIONS AND BOOKS
All publications
Research on algorithmic bias
Algorithms for Convex Optimization
Selected surveys and lecture notes:
Lx=b
Optimization, Sampling, Lie Theory
Hamiltonian Monte Carlo
Geodesic Convex Optimization
Faster Algorithms via Approximation Theory
Real Stable Polynomials and their Applications to TCS
Evolution
WRITING
I write essays on intelligence, human judgment, artificial intelligence, and the ways computational systems reshape how people and institutions learn.
Selected essays are available on my Substack.
AFFILIATIONS
A. Bartlett Giamatti Professor of Computer Science, Yale University. Adjunct Professor, IIT Kanpur.
Co-founder, Yale Computation and Society Initiative. Co-PI, NSF Institute for Learning-enabled Optimization at Scale.
Member, Yale AI Steering Committee, 2025-2026. Served on the Yale AI Task Force, 2024.
Affiliated with the Cowles Foundation for Research in Economics, the Institution for Social and Policy Studies, and the Thurman Arnold Project at the Yale School of Management.
Previously affiliated with IBM Research, Georgia Tech, EPFL, UC Berkeley, Microsoft Research, Google Research, and IIT Bombay.
SELECTED HONORS
IEEE Fellow, 2026.
IEEE FOCS Test of Time Award, 2025.
AMS Fellow, 2025.
ACM Fellow, 2019.
Best Technical Paper Award, ACM FAT*, 2019.
CONTACT
EMAIL
nisheeth (dot) vishnoi (@) gmail (dot) com
TWITTER/X
@NisheethVishnoi
SUBSTACK
nisheethvishnoi.substack.com