About ICF

Mike Smith

Director, Data Analytics
Michael is a data analytics expert with more than 15 years of experience in strategy, innovation, and project management.

Michael manages a portfolio of innovation projects across the country supporting the Department of Defense (DoD). His team applies an interdisciplinary approach to identify opportunities, leverage data as a strategic asset for clients, build coalitions for innovation, and implement successful change initiatives.

Previously, Michael led a team of computational scientists and learning researchers at the U.S. Army Research Laboratory to develop a novel approach to course effectiveness evaluation using simulation, pattern recognition, and factor analysis. The project resulted in several peer-reviewed publications and a book chapter. His work at the U.S. Air Force Major Command led to a series of organizational changes and leadership initiatives to modernize learning practices and instill a culture of innovation. Across engagements, he empowers and leads teams to process and prepare raw data sets, use machine learning techniques to generate insights, and visualize and communicate to senior leadership in creative ways.

Michael regularly publishes and presents on the topics of data science, analytics, and other emerging technologies. He helped develop the Institute for Operations Research and Management Science's industry-leading credential for analytics, the Certified Analytics Professional, as part of the inaugural examination group. Michael holds a master's of public policy from Georgetown University and a Bachelor of Arts in international economics from Longwood University.

Education
  • P.M.P., Project Management Institute
Publications
  • (Book Chapter) Data analytics and training effectiveness evaluation. In K. Huggins (Ed.), Military applications of data analytics. Taylor & Francis. Smith, M., Dass, S., Dillon, C., & Long, R. (2019).
  • A Data Analytics Framework to Support Training Effectiveness Evaluation. GIFT Users Symposium Proceedings. Weerasinghe, C., Dillon, C., Cummings, P., Smith, M., & Long, R. (2017).
  • Data Analytics: Techniques and Applications to Transform Army Learning. ModSim World Conference Proceedings. Long, R., Smith, M., Dass, S., Dillon, C., & Hill, K. (2016)
  • Authoring Tools to Assess Training Effectiveness in Intelligent Tutors. I/ITSEC Conference Proceedings. Long, R., Smith, M., Dass, S., Dillon, C., & Silverman, J. (2016)

Insights