Nisheeth Vishnoi

Nisheeth Vishnoi is the A. Bartlett Giamatti Professor of Computer Science at Yale University. His research spans foundational theoretical computer science, optimization, and machine learning, with a focus on algorithmic fairness, privacy, and the computational understanding of nature and society. He co-founded the Computation and Society Initiative at Yale and is co-PI of the NSF-funded AI Institute for Learning-enabled Optimization at Scale.

• Current Affiliations: Yale University, IIT Kanpur (Adjunct)
• Past Affiliations: IIT Bombay, Georgia Tech, IBM Research, UC Berkeley, CNRS, Microsoft Research, Simons Institute, EPFL, IIT Delhi, ICTS Bangalore, IIT Goa, Google Research

Research Interests: He investigates the intersection of algorithms, ethics, and societal systems, including models of bias in selection systems, equitable mechanisms, and efficient learning in diffusion models. Recently, he has focused on AI's impact on skill formation, human-AI collaboration, and the theoretical frameworks for large language models.

Scientific Awards:

• Best Paper at IEEE FOCS (2005)
• IBM Research Pat Goldberg Memorial Award (2006)
• Indian National Science Academy Young Scientist (2011)
• IIT Bombay Young Alumni Achievers Award (2016)
• Best Paper at ACM FAT* (2019), ACM Fellow (2019)
• AMS Fellow (2025)

Grants & Initiatives: Co-Principal Investigator for the NSF-funded AI Institute for Learning-enabled Optimization at Scale. Affiliated with the Cowles Foundation for Research in Economics, the Institution for Social and Policy Studies, and the Thurman Arnold Project at Yale School of Management.