Broadly, I am passionate about adapting machine learning techniques to fields like agriculture, with a focus on developing
countries. I am specifically interested in machine learning robustness and optimization, as well as its intersection with
Web Development and Support Lead CS Academy (May 2019 - December 2019)
Research Intern World Agroforestry Center (July 2016 - August 2016)
Refining Adversarial Training Methods using Game Theory CMU Machine Learning Department (October 2020 - present)
- Contemporary training algorithms against adversarial risk rely on heuristics, often leading to lower-than-expected test accuracy.
- Under the mentorship of Prof. Pradeep Ravikumar
and Arun Suggala, I am exploring ways of leveraging
existing game theoretic algorithms to improve the robustness of adversarial training methods.