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Also part of the UPMC family:

Yan Ma, Ph.D., M.A., M.S.

Dr. Ma’s theoretical and computational statistical research interests include missing data imputation, machine learning, meta-analysis, methods for assessing interrater reliability, causal inference, complex sample surveys and longitudinal methods. Ma has collaborated on investigations touching orthopedics, anesthesiology, health disparities, cancer, HIV/AIDS, psychiatry and emergency medicine.

He is currently principal investigator of a National Institute on Minority Health and Health Disparities-funded project developing data driven methods for missing data imputation in surgical outcome disparities. He is a recipient of the Young Investigator Award from the American Statistical Association’s Section on Statistics in Epidemiology and the Achievement in Academia Award from the American Public Health Association.

Ma came to Pitt Public Health in 2022 from the Milken Institute School of Public Health at George Washington University, where he served as professor and vice chair of the Department of Biostatistics and Bioinformatics. Ma is also founding director of its PhD program in Health and Biomedical Data Science and director of Biostatistics and Epidemiology Consulting Services.