Inderjit Dhillon is a Professor of Computer Science at The University of Texas at Austin, and Director of the Center for Large-Scale Data Mining. He is also affiliated with the Institute for Computational Engineering and Sciences(ICES), Division of Statistics and Scientific Computation(SSC), Dept of Electrical and Computer Engineering(ECE), and the Center for Computational Biology and Bioinformaics(CCBB). Inderjit received his B.Tech. degree from the Indian Institute of Technology at Bombay, and Ph.D. from the University of California at Berkeley. At Berkeley, Inderjit studied computer science and mathematics with Beresford Parlett and Jim Demmel. His thesis work led to the fastest known numerically stable algorithm for the symmetric tridiagonal eigenvalue/eigenvector problem. Software based on this work is now part of all state-of-the-art numerical software libraries. Inderjit's current research interests are in large-scale data mining, machine learning, network analysis, numerical optimization and scientific computing. Inderjit received an NSF Career Award in 2001, a University Research Excellence Award in 2005, the SIAG Linear Algebra Prize in 2006, the Moncrief Grand Challenge Award in 2010 and the SIAM Outstanding Paper Prize in 2011. Along with his students, he has received several best paper awards at leading data mining and machine learning conferences. Inderjit has served on the Editorial Board of the Journal of Machine Learning Research, the IEEE Transactions of Pattern Analysis and Machine Intelligence, Foundations and Trends in Machine Learning and the SIAM Journal for Matrix Analysis and Applications. He has served on several panels, including the Committee of Visitors, at the National Science Foundation. He is a Senior Member of the Institute of Electrical and Electronics Engineers(IEEE), a member of the Association for Computing Machinery(ACM), the Society for Industrial and Applied Mathematics(SIAM) and the American Association for the Advancement of Science(AAAS).