Charles Worrell
MITRE Corporation
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Charles Worrell is a Principal Scientist at the MITRE Corporation in McLean, Virginia where he develops systems based on Bayesian Inference Networks to detect events such as disease outbreaks, accounting fraud, and other illicit activities for customers that range from the U.S. Securities and Exchange Commission to the nation's Intelligence Community. His research interests include modeling systemic risk, automated detection of financial crimes, and simulating human decision making.
He started his career as an officer in the U.S. Navy, serving aboard ships in both the Pacific and Atlantic Fleets and specializing in operations and telecommunications. Since that time, he has worked in Network Operations at Verizon and as Director of Systems Development at the American Automobile Association's (AAA) Response Services Center.
Dr. Worrell holds a Ph. D. in Information Technology from George Mason University, as well as degrees from the University of Pennsylvania and the Naval Postgraduate School.

Abstract

Systemic risk in the U.S. financial system has drawn the attention of leaders in government and business alike. The abundance of systemic risk measures and risk models has added to the complex task of understanding, discussing, and acting on the implications of that risk. Tools that assist decision makers to interpret risk measures, and recognize their underlying assumptions may lead to deeper understanding and more effective discussion. This talk describes a multi-disciplinary effort to demonstrate the impact of using an integrated modeling and analysis environment on the communication effectiveness achieved while assessing complex financial data. The modeling environment is engineered to support execution of quantitative models including agent based and network models against equivalent scenarios of economic conditions. The environment provides tools to compare and visualize model outputs, and to allow decision makers to maintain traceability from model outputs back to their underlying assumptions. This capability may facilitate the operation of a modeling forum where disparate teams of analysts can collaborate to provide insights into the nation's exposure to systemic financial risk.

Alessandro Vespignani . Geoffrey West . Kathleen C. Engel . Ren Y. Cheng . Eric Bonabeau . David Lazer . Adam Price . Hamid Benbrahim . Cesar A. Hidalgo . Marta Gonzalez . Sokol Celo . Michail Bletsas . Greta Meszoely . Stoyan Tanev . Charles Worrell . Kun Zhao . Dany Bahar . Brian Peltonen .