Nisheeth Vishnoi is a professor of computer science and a co-founder of the Computation and Society Initiative at Yale University. His research focuses on foundational problems in computer science, machine learning, and optimization. He is also broadly interested in understanding and addressing some of the key questions that arise in nature and society from a computational viewpoint. Here, his current focus is on physics-inspired algorithms and algorithmic fairness. He is the author of two monographs and the book Algorithms for Convex Optimization.
He was the recipient of the Best Paper Award at IEEE FOCS in 2005, the IBM Research Pat Goldberg Memorial Award in 2006, the Indian National Science Academy Young Scientist Award in 2011, the IIT Bombay Young Alumni Achievers Award in 2016, and the Best Technical Paper award at ACM FAT* in 2019. He was elected an ACM Fellow in 2019.
- Geometric Methods in Optimization and Sampling, Fall 2021. Workshop Organizer.
- Geometric Methods in Optimization and Sampling, Fall 2021. Visiting Scientist and Program Organizer.
- Foundations of Deep Learning, Summer 2019. Visiting Scientist.
- Geometry of Polynomials, Spring 2019. Visiting Scientist.
- Bridging Continuous and Discrete Optimization, Fall 2017. Visiting Scientist.
- Algorithmic Spectral Graph Theory, Fall 2014. Visiting Scientist.
- Evolutionary Biology and the Theory of Computing, Spring 2014. Visiting Scientist.