Sayash Kapoor

I am a first year PhD student at Princeton University, where I work with Prof. Arvind Narayanan. I am affiliated with the Center for Information Technology Policy and the Department of Computer Science. I am interested in critically investigating Machine Learning methods and their use in scientific research. To that end, I currently study Irreproducibility in Machine Learning as well as issues with Machine Learning generalization. I have previously worked on fairness in machine learning with Prof. Nisheeth Vishnoi and Prof. Elisa Celis, and on robust online optimization with Prof. Purushottam Kar.

My work has been published in academic conferences such as ACM FAccT and IJCAI , as well as journals such as Machine Learning and AI Communications. I received the best paper award at ACM FAT* 2019 (now ACM FAccT).

Before joining Princeton, I worked at Facebook, EPFL, and Columbia University. I completed my undergraduate degree at IIT Kanpur, where I received the Motorola Gold Medal for outstanding all-round performance among the graduating class of Electrical Engineering and Computer Science.

  • Preprints and publications

  • Email: sayashk AT princeton DOT edu