exml version="1.0" encoding="UTF-8"> NISHEETH K. VISHNOI
 

NISHEETH K. VISHNOI

 
 


RESEARCH

My work spans various areas of Mathematics, Theoretical Computer Science, Optimization, and Artificial Intelligence. I aim to tackle some of the most pressing and complex problems at the intersection of computation and society.

I devise methods aimed at mitigating biases and ensuring privacy within algorithms (broadly interpreted), with a particular focus on understanding the complex interactions between algorithms, human behavior, and societal norms. I am developing techniques to enhance the capabilities of diffusion models, enabling them to learn probability distributions over data that is constrained to geometric spaces. I am interested in developing frameworks to understand and assess the impact of generative AI tools such as Large Language Models on jobs and work.

At Yale, I co-founded the Computation and Society Initiative.

I am co-PI of an NSF funded AI Institute: The Institute for Learning-enabled Optimization at Scale

At Yale, I am affiliated to 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.

I serve on the Yale AI Task Force.

My Curriculum Vitae

AFFILIATIONS

    CURRENT      A. Bartlett Giamatti Professor of Computer Science, Yale

    ADJUNCT    IIT Kanpur

    PAST           IIT Bombay    Georgia Tech    IBM Research    UC Berkeley
                     CNRS    Microsoft Research    Simons Inst.   EPFL    IIT Delhi
                     ICTS Bangalore    IIT Goa    Google Research



OPEN POSITIONS

Several open positions Ph.D./Postdoc positions in theoretical computer science, machine learning, optimization, and algorithmic fairness are available. Please get in touch directly if you would be interested.


PUBLICATIONS

    ALL PAPERS


RESEARCH ON ALGORITHMIC BIAS

    Controlling Bias in AI

BOOKS and SURVEYS

      Algorithms for Convex Optimization
      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


BLOGS

    Computation and Society

    Algorithms, Nature, and Society

    Off the Convex Path


RECENT SERVICE and HONORS

       PC Chair, FOCS 2021

       Co-organizer of Simons Semester on Geometric Methods for Optimization and Sampling, Fall 2021

       PC of India Science Festival, 2020-2021

       Elected Fellow of ACM, 2019

       Best Technical Paper Award at ACM FAT*, 2019

M

MEDIA and OUTREACH

       Times of India interview on AI and bias.

       PBS Nova article on our work on reducing polarization

       Panelist in ICRC/IIT Delhi Initiative on Humanitarian Policy and Technology, 2019

       Round Table on the Governance of Decision Making Algorithms, IRGC, 2018

       Round Table on AI and Global Health at Wilton Park, 2018

       Our voting framework to be used in Valais elections, 2018

       Panelist in the Responsible Finance and Investment Summit, 2018

       Philanthropy Impact Roundtable on AI, 2018

       A demo of our algorithms to control bias in AI (work in progress)

       On our work on controlling polarization [video]

       On our algorithms to control bias

       An interview on Artificial Intelligence

       An interview on Algorithmic Bias

       A journalist's report of the workshop Computation, Science and Society that I co-organized


CONTACT

    EMAIL    nisheeth (dot) vishnoi (@) gmail (dot)  com  

    TWITTER