Numerical Analysis, Scientific Computing, Data Mining, Statistical Pattern Recognition, Machine Learning, Clustering & Classification, Data Visualization, Bioinformatics, Parallel Computing. Dr. Dhillon's primary research interest is in numerical algorithms that arise in computational linear algebra, data mining and bioinformatics. The underlying thread in his research is to obtain faster and more (numerically) accurate algorithms. Some of the problems he is currently studying include fast algorithms for symmetric and non-symmetric eigensystems, clustering of high-dimensional data and their use in obtaining matrix approximations, and clustering applications in data mining and bioinformatics.