Generate a tailored SOP for Dr. Vikram Ramaswamy. Improve your application with a focused, well-structured draft.
Ramaswamy joined the department in 2023 after completing a Ph.D. at Princeton University. He has earned both bachelor's and master's degrees from the Indian Institute of Technology, Madras, India. His research interests include fairness and interpretability in machine learning, with a particular focus on visual systems. Ramaswamy has worked primarily on constructing datasets, both real and synthetic, and on understanding and evaluating interpretability methods, particularly in the context of convolutional neural networks.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.