Dr. Joy Thomas

Chief Scientist

Dr. Joy Thomas has more than a decade of experience working on various applications of Information Theory to problems in text classification, data compression, performance analysis, network capacity and data mining. Since 1999, he has been the Chief Scientist at Stratify, Inc., the emerging leader in unstructured data management.

From 1990 to 1999, he was a Research Staff Member at the IBM T.J. Watson Research Center in Hawthorne, New York. At IBM, he was involved in developing data compression algorithms, and developing new versions of adaptive dictionary algorithms that have been implemented in hardware for memory compression. The algorithms Dr. Thomas developed were the basis of the MXT memory doubling technology announced by IBM in 2001. He has also worked on analysis of ATM networks and data mining for performance analysis data. He is the author and/or coauthor of a textbook, two book chapters, more than a dozen technical papers, three patents and is the recipient of two IBM patent awards.

Dr. Thomas received the Indian National Talent Search Scholarship for 1978-84, the IEEE Chareles LeGeyt Fortescue Fellowship for 1984-85, and the IBM Graduate Fellowship for 1987-1990. He is the co-author (with Prof. Thomas Cover) of the textbook, Elements of Information Theory (Wiley, 1991).

Dr. Thomas received his B.Tech. in electrical engineering from the Indian Institute of Technology, Madras, India in 1984 and his Ph.D. in electrical engineering from Stanford University in 1990.