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- Statistical methodology and machine learning algorithms. In particular, problems involving high dimensionality and where one can explore such structures as sparsity and continuity. Recent focus has been on clustering.
- Large scale computational statistics for problems with combinatorial structures such as sequences, trees and networks.
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Applied statistics (modeling, inference and algorithmic development for
real-world problems that involve uncertainty). Past applied work
includes
- analysis of web logs for automatic detection of malicious web traffic
- isolation and recognition of patterns over high dimensional continuous data stream
- analysis of remote sensing imagery for land-cover applications.
- Data mining, computational biology, large scale social network mining, computer vision, wireless and computer networking.
Work