Office Address:
Mayo, A453
Mailing Address:
420 Delaware St. SE
MMC 303
Minneapolis, MN 55455
Julian Wolfson, PhD
Associate Professor, Division of Biostatistics
Education
PhD, Biostatistics, University of Washington, 2009
BS, Mathematics and Computer Science, McGill University, 2004
Summary
My research lies at the intersection of causal inference and machine learning, particularly as applied to large, messy datasets. I have applied my methods to problems such as finding surrogate endpoints in clinical trials, identifying relevant explanatory variables in the presence of correlation and measurement error, predicting the risk of heart attacks using electronic health record data, and understanding human behavior patterns using smartphone sensor data.
My collaborative work spans multiple disciplines, including infectious disease (HIV/Ebola), cardiovascular health, nutrition and obesity, and pediatrics. I serve as lead statistician on a number of clinical trials, consult on small projects with a wide variety of investigators, and participate in interdisciplinary research teams pursuing longer-term research projects.
Expertise
Chronic diseases, food & nutrition, infectious disease, methods, causal inference, machine learning, variable selection, risk prediction, HIV/AIDS
Awards and Recognition
- Leonard M. Schuman Award for Excellence in Teaching, School of Public Health, 2016
- Delta Omega National Honor Society, 2016
Professional Associations
- American Statistical Association
- Institute of Mathematical Statistics
- International Biometric Society
- INFORMS
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