Varun Kanade is a Research Lecturer in the Department of Computer Science, Oxford University. He has been a Simons Postdoctoral Fellow at the University of California, Berkeley and a FSMP postdoctoral fellow at ENS, Paris. He obtained his Ph.D. from Harvard University in 2012. His research interests are in machine learning and theoretical computer science.
Varun Kanade's research interests lie at the intersection of machine learning and theoretical computer science. At the ATI, his research will focus on mathematical foundations of machine learning, in particular statistical and computational tradeoffs, as well as improving our theoretical understanding of methods successful in practice. His work will also focus on randomized algorithms particularly for analysing large networks.