Mark Abdollahian

Dr. Mark Abdollahian delivers advanced analytics for data driven decision-making. His global experience spans national policy, corporate strategy, economic development, finance, public-private partnerships, M&A and business process reengineering. He creates, architects and implements enterprise class data and strategy analytics used by the US Government, the World Bank and the United Nations as well as private sector companies worldwide, including Arthur Andersen, Motorola, McKinsey, Raytheon, British Aerospace, Chevron and DeBeers. Dr. Abdollahian develops, manages and applies behavioral and predictive analytics to strategic and operational issues across government and business, focusing on bringing to market next generation innovations today.

Dr. Abdollahian is author of dozens of articles and two books on data driven strategy across business, politics and economics. He is a board member for several private and nonprofit enterprises and lectures to audiences worldwide. Dr. Abdollahian is a Full Clinical Professor at the Division of Politics and Economics, Claremont Graduate University, cofounder of Sentia Group, and currently chief executive officer of ACERTAS. In addition to Bachelors degrees in Political Science, History, and French from Case Western Reserve University, Dr. Abdollahian holds a Master’s degree in Foreign and Defense Policy and a Ph.D. in Political Economy and Mathematical Modeling from Claremont Graduate University.

Professor Abdollahian's interests include strategic decision making, international political economy, sustainable development, economics, growth, human social cultural behavioral modeling, econometrics, predictive analytics, computational modeling and simulation, data analytics, and visualization. 

Courses Taught

  • SPE471 Strategy for Politics, Economics, and Business
  • SPE316 Computational and Agent Based Modeling
  • PP487 Applied Data Analysis
  • SPE448 Social Network Analysis
  • SPE439 System Dynamics
  • SPE486 Data Analytics and Visualization
  • SPE438 Dynamic Modeling

Recent Research