Aaditya Ramdas — aramdas [@] cs [dot] cmu [.] edu
8223 Gates (CMU), Pittsburgh

5th Year Joint PhD Student, Machine Learning and Statistics
School of Computer Science, Carnegie Mellon University

My advisors are Larry Wasserman (Stats) and Aarti Singh (ML), with whom I work at the intersection of computation and statistics. I like revisiting classical learning problems like classification, regression and hypothesis testing with modern tools like nonparametric methods, active learning, randomized algorithms, kernel methods, and stochastic optimization. My other thesis committee members are Ryan Tibshirani (CMU), Michael Jordan (UC Berkeley) and Arthur Gretton (UC London). I will be looking for post-docs starting Fall 2015 or Spring 2016.