I’m a fourth year PhD student in mathematics advised by Jordan Ellenberg. I’m interested in how we can apply Reinforcement Learning (RL) - a field of machine learning where we train a computer agent to learn how to take actions in an environment - to problems in pure mathematics and science to help mathematicians and scientists conjecture, discover, and prove new truths in their fields.
Currently, my research focusses on creating generative RL to generate useful, interpretable data in additive combinatorics for mathematicians in this area to use to inform conjectures and proofs. I’m excited by what mathematics and science will look like in 100 years and the ai-powered tools academics in the future will have access to, and I’m driven to do my small part in this rich field of possibilites. I’m also affiliated with the Wisconsin Institute for Discovery and the Institute for Foundations of Data-Science.
I was born in Kolkata, India - a city rich in history and culture with bustling streets and great food - and lived there until I moved to the calmer lands of Illinois, where I got my BSc in Mathematics at the University of Illinois at Urbana-Champaign. I also spent a semester at the Independent University of Moscow as a part of the Math in Moscow study abroad program.
Download my resumé.
PhD in Mathematics, 2025
University of Wisconsin-Madison
BSc in Mathematics, 2020
University of Illinois at Urbana-Champaign
Here are some organizations I’m … organizing.
I love teaching! Here are the classes that I’ve taught as a teaching assistant:
Math 221 - Calculus and Analytic Geometry 1 - Fall 2020
Math 211 - Calculus - Spring 2021, 2022, Fall 2021, 2022
Math 222 - Calculus and Analytic Geometry 2 - Summer 2021
Math 240 - Intro to Discrete Mathematics - Summer 2022, 2023
Here are worksheets that I’ve written.