Julian Wolfson, Ph.D.

Research

Current CV

Software

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.

I am co-founder and Chief Technology Officer of Daynamica, a University of Minnesota startup company that offers smartphone-based data collection, storage, and analysis to researchers and organizations who want to better understand human activity and travel behavior.

Areas of Interest

• Variable selection

• Electronic health data

• Wearable sensor data

• Causal inference