Vishnu Vinod

Vishnu is a Dual Degree graduate in Computer Science and Engineering from IIT Madras. He has previously worked on a wide range of topics including Adversarial ML, Differential Privacy, Reinforcement Learning (RL), and Explainable AI (XAI). He is currently a Post-Baccalaureate Fellow at the Robert Bosch Centre for Data Science and AI, IIT Madras. He is looking to take up new and interesting problems in the fields of Theoretical ML and RL with an emphasis on the development of private, secure, and interpretable ML models and algorithms.