Ashkan Ertefaie, PhD

Ashkan Ertefaie is an Associate Professor of Biostatistics at the University of Pennsylvania whose research focuses on developing robust, efficient, and data-adaptive statistical methods with minimal reliance on restrictive modeling assumptions. His work integrates modern machine learning with valid statistical inference and spans causal inference, individualized treatment strategies, instrumental variable methods, high-dimensional data analysis, post-selection inference, and survival analysis. He has served as principal investigator or contact PI on multiple NIH-funded projects, leading methodological advances in areas such as air pollution and cardiovascular disease, just-in-time adaptive interventions for substance use, personalized treatment strategies for Parkinson’s disease, and compliance-adjusted analyses in sequential treatment settings. His research is motivated by important public health and clinical questions and aims to produce practical tools for precision medicine and policy-relevant decision making.