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Joydeep Ghosh is currently the Schlumberger Centennial Chair Professor of Electrical and Computer Engineering at the University of Texas, Austin. He joined the UT-Austin faculty in 1988 after being educated at Indian Institute of Technology, Kanpur, (B. Tech ’83) and The University of Southern California (Ph.D ’88). He is the founder-director of IDEAL (Intelligent Data Exploration and Analysis Lab) and a Fellow of the IEEE. Dr. Ghosh’s research interests lie primarily in data mining and web mining, predictive modeling / predictive analytics and their applications to a wide variety of complex real-world problems, including extracting value from a variety of healthcare data. Notable studies include time series modeling for predicting cardiac arrests, techniques for integrating diverse health datasets, prediction of sepsis and septic shock from ICU data and privacy-aware predictive modeling using healthcare data. He has published more than 300 refereed papers and 50 book chapters, and co-edited over 20 books. He has received 16 Best Paper Awards over the years, and given plenary talks at key conferences related to data mining.