Research Interests

My general research interests in computer science are in artificial intelligence, specifically in cultural/adversarial modeling and reasoning, forecasting/predictive reasoning, probabilistic logic, logic programs, linear programs, and game theory. I am interested in multidisciplinary research topics, applying artificial intelligence to issues in social science and public policy, including international security, international development, counterterrorism, and cultural dynamics.

Some of my current research projects include:

  • Stochastic Opponent Modeling Agents (SOMA)--Probabilistic logic modeling and reasoning framework for cultural dynamics. SOMA has been used primarily to model the behaviors of terrorist organizations, as well as the key players in the Afghan opium trade.
  • SOMA Terror Organization Portal (STOP)--Online tool that provides national security experts, policy analysts, and political science researchers with access to data on terror organizations and the behavioral modeling and forecasting tools developed by LCCD. STOP allows analysts the ability to examine approximately 36 terror organizations from about ten countries ranging from Morocco all the way to Afghanistan.
  • Change Analysis Predictive Engine (CAPE)--Probabilistic framework for modeling and forecasting when and how a group may change its behavior or strategies.
  • CONVEX--Vector similarity analysis for forecasting group behaviors based on comparisons with actions taken in the past.
  • SitCAST--Probabilitistic method for forecasting possible future situations in temporal datasets.