Parikshit Gopalan

Parikshit Gopalan is a machine learning researcher at Apple where he works on the foundations of machine learning. He aspires to do fundamental theoretical research that impacts practical problems. His current focus is on the interplay between multigroup fairness, loss minimization and indistinguishability. He also interested in questions related to calibration, distribution drift and anomaly detection. Parikshit has broad interests in theoretical computer science, having worked on coding and information theory, pseudorandomness and computational complexity. On the applied side, he has worked on systems for storing and interactively visualizing large datasets. In the past, Parikshit has been a researcher at VMware Research, Microsoft Research in Redmond and Silicon Valley, a graduate student at Georgia Tech and an undergraduate at IIT Bombay.