# Applied Probability and Statistics

Our research is centered on mathematical problems arising in statistics and in systems biology. We are interested in robust covariance matrix estimation using data from Grassmann manifolds. Such models appear in many applied contexts of interest like image and video analysis, and offer a very interesting framework where mathematical techniques from differential geometry and probability can be developed. We also focus on computation in natural systems, and try to understand how living systems perform statistical inference.