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Roy S. Freedman founded Inductive Solutions, Inc., in 1989. His primary consulting and research interests involve the practical application of mathematics, statistics, and computer technology to risk management problems in trading, operations, and compliance. He teaches various courses as adjunct professor in the department of Finance and Risk Engineering at the New York University Tandon School of Engineering,

Dr. Freedman has written over 60 published papers, three books, and six book chapters. He is the author of "Artificial Intelligence On Wall Street" that appears in the Encyclopedia of Computer Science and Technology (Volume 28) and is the primary editor of Artificial Intelligence in the Capital Markets: State-Of-The-Art Applications for Institutional Investors, Bankers & Traders.   His latest book, published by Elsevier under their Academic Press imprint, is Introduction to Financial Technology .

Dr. Freedman has been involved in assignments for the New York Stock Exchange, Merrill Lynch, Robertson Stephens, Banco Santander, Meridian Investment Company, Sun Microsystems, Tamiso & Company, Time-Warner, Chemical Bank, The Equitable, Loral, Grumman, Hazeltine, and other institutions in industry and government.  During the Bloomberg Administration, he was an advisor to the Chief Information Officer of New York City Health & Human Services. He is currently an expert witness in a case involving high frequency trading (Last Atlantis litigation). Prior to his work at Inductive Solutions, Inc., Dr. Freedman was associate professor of computer science at NYU Tandon School of Engineering.

Dr. Freedman's professional activities include serving as editor and reviewer for several publications and being an invited speaker and teacher at many conferences and seminars. He was the Program Chairman for the First, Second, and Third International Conference on Artificial Intelligence Applications on Wall Street.

Dr. Freedman received a BS and MS in Mathematics, an MS in Electrical Engineering, and a Ph.D. in Mathematics, all from the NYU Tandon School of Engineering.

Mathematics Genealogy from the Mathematics Genealogy Project.
Citations from Google Scholar.


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