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.