Tony Cox

Tony Cox

Phone: 303-388-1778
Fax: 303-388-0609
Email:
[email protected]
Website:

Tony Cox is President of Cox Associates, a Denver-based applied research company specializing in quantitative risk analysis, causal modeling, advanced analytics, and operations research.  He is also Chief Sciences Officer of NextHealth Technologies, a Denver-based company offering advanced data analytics solutions to reduce human health risks and improve healthcare.  Tony is an Edelman Laureate of the Institute for Operations Research and Management Science (INFORMS; a member of the National Academy of Engineering (NAE), a member of the National Academies' Board on Mathematical Sciences and their Applications, and a Fellow of the Society for Risk Analysis (SRA).

Tony holds the world's first Ph.D. in Risk Analysis (1986) and an S.M. in Operations Research (1985), both from M.I.T; an AB from Harvard University (1978); and is a graduate of the Stanford Executive Program (1993).  He is Honorary Full Professor of Mathematics at the University of Colorado, Denver, where he has lectured on risk analysis, biomathematics, health risk modeling, computational statistics and causality; is on the Faculties of the Center for Computational Mathematics and the Center for Computational Biology; and is Clinical Professor of Biostatistics and Informatics at the University of Colorado Health Sciences Center.  He has taught a variety of graduate and professional courses, including Game Theory for the Department of Mathematics and Decision Analysis for the Business School of the University of Colorado at Denver. He is Editor-in-Chief of Risk Analysis: An International Journal, is Area Editor for Real World Applications for the Journal of Heuristics, and is on the Editorial Board of the International Journal of Operations Research and Information Systems.

Tony has taught many graduate and professional courses in risk analysis, decision analysis, and advanced analytics and has authored and co-authored about 200 journal articles and book chapters on these fields.  His most recent books are Improving Risk Analysis (Springer, 2013), Risk Analysis of Complex and Uncertain Systems (Springer, 2009) and the Wiley Encyclopedia of Operations Research and Management Science (Wiley, 2011), which Dr. Cox co-edited.  He has over a dozen U.S. patents on applications of artificial intelligence, signal processing, statistics and operations research in telecommunications. His current research interests include computational statistical methods for causal inference in risk analysis, data-mining, and advanced analytics for enterprise risk management, insurance, and public policy applications.