Inderjit Dhillon is a Professor of Computer Sciences at The University of Texas at Austin. His main research interests are in numerical analysis, data mining and machine learning. He is best known for his work on computational algorithms in these areas, in particular on eigenvalue computations, clustering, co-clustering matrix approximations, and metric/kernel learning. Software based on his research on eigenvalue computations is now part of all state-of-the-art numerical software libraries. Inderjit received an NSF Career Award in 2001, a University Research Excellence Award in 2005, and the SIAG/LA Prize in 2006. Along with his students, he has received several best paper awards at leading data mining and machine learning conferences. Inderjit received his B.Tech. degree from the Indian Institute of Technology at Bombay, and Ph.D. from the University of California at Berkeley. He is a Senior Member of the Institute of Electrical and Electronics Engineers(IEEE), and a member of the Association for Computing Machinery(ACM) and and the Society for Industrial and Applied Mathematics(SIAM).