Marquise McGraw is an economist with a keen interest in applying economic principles and methods to affect real-world policy outcomes. Informed by his experience in government and academia, Marquise serves as Professorial Lecturer and the Director of the Master of Public Policy (MPP) degree program at American University. He teaches courses in applied policy analysis, including courses in statistical methods, economics, public finance, and cost-benefit analysis, for which in May 2023 he received an award for Outstanding Teaching from the School of Public Affairs at AU. His current research focuses on the application of statistical and geospatial methods to issues within environmental justice and equity, with recent work on lead pipes and equity impacts published in Sustainability. Prior to joining AU in 2019, Marquise was an economist with the Consumer Financial Protection Bureau (CFPB) and the Federal Aviation Administration (FAA). Originally from the Bronx, New York, he currently resides in Rockville, Maryland.
FEATURED ALUMNI OF THE MONTH
Marquise McGraw, PhD
Hometown – Bronx, NY
Undergrad – Cornell University, BA, Economics
Graduate School – University of California, Berkeley, 2015, PhD Economics
Current Occupation – Director, Master of Public Policy Program & Professorial Lecturer, American University
Greatest Impact
I am a firm believer in the power of and importance of public service. My greatest impact thus far is in what I’ve been able to accomplish through my work teaching, coaching and mentoring young people who share my passion for making a difference through public service. Teaching at AU, and assuming the directorship of our storied and top-ranked program in Public Policy is the honor of a lifetime for me. It is also a challenge; our world is in a very unique place right now, and it will take many creative problem solvers to help navigate the many challenges ahead of us as a society. I am proud to lead our program in a way that equips our students with fresh and diverse perspectives to their work.
Bio
