Dr. Sonja Simpson is the office manager for Michael Baker International, a global leader in engineering, planning and consulting services' Columbus, Ohio, operation.
Prior to this, she was the assistant director of field operations with the Ohio Department of Transportation. Simpson has also served ODOT in two other positions: as district deputy director of District 5, and as the deputy director of the Division of Operations in ODOT’s Central Office.
A strong believer in “Good Government,” Simpson has more than 19 years of public sector experience. She was on Columbus Business First’s “Forty Under 40” list for 2012, and was named the American Public Works Association Manager of the Year for Administrative Management in 2013. In 2017, Simpson was presented the Women’s Transportation Seminar Columbus Chapter 2017 Rosa Parks Diversity Leadership Award.
Simpson earned her Bachelor of Science in Environmental Science and a master’s in regional planning from California University of Pennsylvania. She also holds a doctorate in business administration with a specialization in public administration from Northcentral University. She has been teaching at the college level for 15 years. Her research interests include public administration, leadership and diversity in public organizations.
In July 2020, Columbus City leaders commissioned an independent, outside after-action review of the City’s response to protests that took place last summer. Former U.S. Attorney for the Southern District of Ohio Carter Stewart and the John Glenn College of Public Affairs were named the lead investigative team.
In this study, published in Economic Development Quarterly, the authors present a statistically valid typology of high-growth firms, also known as gazelles, to determine if payroll and job growth patterns differ between groups or clusters.
This study, published in the Bulletin of the American Meteorological Society, presents an experimental design that overcomes the counterfactual problem present in all prior published experiments by relying on an actual storm with a known outcome.