My main theoretical interest is in understanding why we are able to do statistics as well as we do on very high dimensional datasets without knowing much, even though least favorable (malicious God) formulations suggest we should not be able to do anything. Currently this has led me to focus on estimation of covariance matrices and their eigenstructures in high dimensions.