Dr. Minh Huynh

Dr. Minh Huynh (Ph.D., Economics, Boston College) is a Managing Director & Principal Research Associate at IMPAQ International. Dr. Huynh has more than 15 years of experience leading and participating in projects involving both quantitative and qualitative program evaluations and policy analyses for both public and private sector organizations. Prior to joining IMPAQ, Dr. Huynh was the Chief of the Office of Economic Policy and Analysis at the Office of the Assistant Secretary for Policy (OASP) at the U.S. Department of Labor (DOL), where he led teams of economists to conduct economic and regulatory analyses.

Dr. Huynh came to DOL from the National Institutes of Health’s Clinical Research Center, where he was an Institute Staff Scientist in the Clinical Research Center Intramural Research Program, with the Epidemiology and Biostatistics Section of the Rehabilitation Medicine Department. While at NIH, Dr. Huynh led a team of mathematicians, statisticians, computer scientists, and analysts to conduct intramural research, where he specialized in the analysis of statistical and design elements of clinical trials, innovative experimental designs and power analysis of experiments in clinical trials and treatment protocols, and statistical analysis of functional and applied biomechanics clinical protocols. 

Dr. Huynh has extensive expertise with a wide variety methods and data sources, including complex survey data, administrative data, electronic health records, image data, and restricted earnings records. Dr. Huynh currently leads multiple data analytics project for the U.S. Department of Labor, US Social Security Administration, the Food and Drug Administration, the US Department of Agriculture, and the Newark Workforce Investment Board.   

IMPAQ Papers and Presentations

Huynh, M., Gerber, L.H., Weinstein, A.A. & Frankenfeld, C.L. (2016). Disability Among Veterans: Analysis of the National Survey of Veterans (1997-2001)​Military Medicine, 3(219),181.

Huynh, M., Heuser, A. & Zhou, Chunxiao. (2016, February). Introduction to Adaptive Designs. Presentation at the American Statistical Association (ASA) Conference on Statistical Practice (CSP), San Diego, CA.