Vikram V. Ramaswamy (original) (raw)

I am a lecturer in the Computer Science department at Princeton University. I'm interested in fairness and interpretability in machine learning, and how it applies to visual systems. I've worked primarily in constructing better datasets (either real or synthetic) and understanding and evaluating interpretability methods for convolutional neural networks.

Previously, I was a PhD student at Princeton, advised by Prof. Olga Russakovsky. I got my bachelor's and master's degree from IIT Madras, where I was advised by Prof. Jayalal Sarma.