Kavita Ramanan works on probability theory, stochastic processes and their applications. She is an interdisciplinary researcher who has developed novel mathematical frameworks for the analysis of stochastic networks, Markov random fields and interacting particle systems, which arise as models in a variety of fields ranging from operations research and engineering to statistical physics and neuroscience. Her work combines tools from several fields including discrete probability, stochastic analysis and partial differential equations. Kavita has also made fundamental contributions to the study of reflected processes, large deviations theory, high-dimensional probability and applications to asymptotic convex geometry. She also has four patents to her name. Kavita was awarded the Erlang prize in 2006 for "outstanding contributions to applied probability" by the INFORMS Applied Probability Society.
- Probability, Geometry, and Computation in High Dimensions, Fall 2020. Visiting Scientist.