LOUIS ANTHONY (TONY) COX, JR., PH.D

Cox Associates, 503 Franklin Street, Denver, Colorado, 80218

(303)-388-1778 (Phone);  (303)-388-0609 (Fax);  tony@cox-associates.com

 

Tony Cox is President of Cox Associates (www.cox-associates.com), a Denver-based applied research company specializing in quantitative health risk assessment, causal modeling, probabilistic and statistical risk analysis, data mining, and operations research.  Since 1986, Cox Associates’ mathematicians and scientists have developed and applied computer simulation and biomathematical models, statistical and epidemiological risk analyses, causal data mining techniques, and operations research and artificial intelligence risk and decision models to measurably improve health, business, and engineering risk analysis and decision-making for public and private sector clients.  Since 1996, its sister company, NetAdvantage, has provided operations research services and software for telecommunications companies.  In 2006, Cox Associates was inducted into the Edelman Academy of the Institute for Operations Research and Management Science (INFORMS), recognizing outstanding real-world achievements in the practice of operations research and the management sciences.

 

Dr. Cox holds a Ph.D. in Risk Analysis (1986) and an S.M. in Operations Research (1985), both from M.I.T.’s Department of Electrical Engineering and Computer Science.  He has an AB from Harvard University (1978) and is a graduate of the Stanford Executive Program (1993).  He is a member of the National Academies' Board on Mathematical Sciences and Their Applications (BMSA), and is Honorary Full Professor of Mathematics at the University of Colorado at Denver, where he has lectured on biomathematics, health risk modeling, computational statistics and causality.  Dr. Cox is on the Faculties of the Center for Computational Mathematics and the Center for Computational Biology at the University of Colorado at Denver and is Clinical Professor of Preventive Medicine and Biometrics at the University of Colorado Health Sciences Center, where he has focused on uncertainty analysis and causation in epidemiological studies.

 

Dr. Cox is Area Editor for Mathematical Modeling for Risk Analysis: An International Journal, and is a co-founder and Area Editor of the Journal of Heuristics.  He is an Edelman Laureate of INFORMS, a member of the American Statistical Association (ASA), and a Fellow of the Society for Risk Analysis (SRA).  He won the Society for Risk Analysis (SRA) Best Paper Awards in both 2002 and 2003 for work applying uncertainty analysis to evaluate public health risks and benefits of animal antibiotics. In 2007, he won the Society of Toxicology’s Outstanding Published Paper in Risk Assessment Award and the Society for Risk Analysis Outstanding Risk Practitioner Award.  In 2008, his solution to a challenge on “Statistical Methods to Predict Clinical Response” won an InnoCentive Award.

 

Dr. Cox has taught many graduate and professional courses in risk analysis, decision analysis, forecasting and predictive modeling, data mining, operations research and computational and Bayesian statistics.  He has authored and co-authored over 150 journal articles and book chapters on these fields.  His most recent books are Risk Analysis of Complex and Uncertain Systems (Springer, 2009); Quantitative Health Risk Analysis Methods: Modeling the Human Health Impacts of Antibiotics Used in Food Animals (Springer, 2006); and Risk Analysis: Foundations, Models and Methods (Springer, 2001).  He has over a dozen U.S. patents on applications of artificial intelligence, signal processing, statistics and operations research methods in telecommunications. His current research interests include computational statistical methods for causal inference in risk analysis and data-mining.