Tony Cox is founder of MoirAI. He has expertise in causal modeling, advanced analytics, risk analysis, and operations research. Dr. Cox is a member of the National Academy of Engineering (NAE); Editor-in-Chief for Risk Analysis: An International Journal (A premier journal in decision and management science); and Area Editor for Real World Applications for the Journal of Heuristics. He is an Edelman Laureate of the Institute for Operations Research and Management Science and a Fellow of the Society for Risk Analysis (SRA). He holds a Ph.D. in Risk Analysis (1986) and an S.M. in Operations Research (1985), both from M.I.T; an A.B. in Math from Harvard University (1978); and is a graduate of the Stanford Executive Program (1993).
He has served as Honorary Full Professor of Mathematics at the University of Colorado, Denver (UC Denver), where he has taught courses in risk analysis, health risk modeling, computational statistics and causality; and is Clinical Professor of Biostatistics and Informatics at the University of Colorado Health Sciences Center. He’s currently teaching Causal AI and Advanced Analytics at the Business School, UC Denver.
Dr. Cox has taught many graduate and professional courses in risk analysis, decision analysis, and advanced analytics. He has authored and co-authored over 200 journal articles and book chapters on these fields. His most recent books are Breakthroughs in Decision Science and Risk Analysis (Wiley, 2015), 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 coedited. His current research interests include computational statistical methods for causal inference in risk analysis, data-mining, and advanced analytics for enterprises, and public policy applications.
Tony was a key member of two successful analytics startups in Denver: Chief Technology Officer of NetAdvantage and Chief Science Officer of NextHealthTechnologies.
Khuong (Leo) Le is a professor-turned-entrepreneur and co-founder of MoirAI. Prior to founding MoirAI, he was Associate Professor of Management at the Business Schools of University of Colorado, Denver and Kent State University, Ohio. He has expertise in business analytics, IT innovation with business venturing, digital strategy and transformation, e-commerce, and enterprise systems (ERP/CRM). His research has been published in A-ranked journals such as Harvard Business Review, Journal of Information Technology, Information Systems Journal, and Energy Policy. While serving as a management professor at Kent State University, Ohio, he was a key member to design the university’s first and nationally highly ranked M.Sc. program in Business Analytics.
Besides academia, Khuong is very active in the entrepreneurial community and has spent almost five years collaborating with startups in the Bay Area, Korea, and Israel. He particularly enjoys working on the applications as well as business models of emerging, innovative technologies and systems. Specifically, during 2016-2017, he was a startup scouter for a Santa Clara based Venture Capital. Since April 2018, he has been advisor for Algopix – an Israeli startup in Palo Alto, California that provides Business Intelligence services for merchants on ecommerce sites. Khuong is also very keen on ventures in medicine. Most recently, Khuong has joined Jason Calacanis’ well-known syndicate to invest (series A) in Thalamus which provides SaaS for over 90% of physicians applying for residency in the U.S.
Dr. Le earned his Ph.D. in Management from the University of London (UK) and his M.Sc. in System Engineering from the University of Warwick (UK). He is a Board Member of the Research Center for Consumer and Organizational Digital Analytics (CODA) at King’s College, University of London (UK).
On a part-time basis, Dr. Le is Adjunct Professor for the online Executive MBA program of Texas A&M University.