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 and matrix approximations. 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 best paper award at the SIAM data mining conference in 2003, a University Research Excellence Award in 2005, and the SIAG/LA Prize in 2006. He 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 member of the Association for Computing Machinery, the Institute of Electrical and Electronics Engineers, and the Society for Industrial and Applied Mathematics.