Mr. Luke Patterson

Mr. Luke Patterson is a Research Associate within the Data Modeling group of IMPAQ’s Social Programs and Policy Division. He is a technical expert in statistical techniques and simulation modeling, and project manager for the majority of projects within the group.


Mr. Patterson is an expert in applying statistical analytic techniques for economic analyses and program evaluations. In particular, he has played a key role in several projects involving complex forecasting and simulation methods. His work portfolio includes data analysis and manipulation for a number of program evaluations using experimental and quasi-experimental evaluation methods. His work has also used a number of different datasets, from surveys to administrative datasets (such as unemployment insurance wage records) and secondary datasets (such as the Current Population Survey and American Community Survey). He has also managed large, multi-million observation databases, such as Burning Glass job postings databases, and is proficient with data analysis using multiple programming languages and statistical packages, such as R, Stata, SAS, SPSS, Python, Visual Basic/VBA, C++, and Java.


Mr. Patterson has six years of experience working with a wide range of clients including the Department of Labor, the Food and Drug Administration, the Centers for Medicare and Medicaid Services, the Food and Nutrition Service, and AARP.

Prior Experience

Prior to joining IMPAQ, Mr. Patterson has held internships at the Economic Security Index at Yale University, the Consumer Financial Protection Bureau, and the Department of Labor/ Occupational Safety and Health Administration.


Mr. Patterson earned his MPP from the University of Maryland College Park in 2017 and his BS in Industrial and Labor Relations from Cornell University in 2013.

IMPAQ Papers and Presentations

Patterson, L. (2104, August). Impact of PRWORA and TANF on the Wellbeing of Low-Income Americans in the 21st Century. Presentation at the National Association for Welfare Research and Statistics Annual Conference, Providence, RI.