معرفی
Colin Fogarty is an Assistant Professor of Statistics at the University of Michigan, Department of Statistics within the College of Literature, Science, and the Arts. Previously, he held positions at MIT Sloan School of Management and completed his Ph.D. at the Wharton School of the University of Pennsylvania. His research focuses on causal inference, particularly in observational studies, experimental design, and applications in medicine and public health. He has contributed significantly to sensitivity analysis, heterogeneous treatment effects, and robust statistical methodologies.
Education includes a Ph.D. in Statistics from Wharton (2016) and an A.B. in Statistics from Harvard University (2011). Awards include the Biometrics Early-Stage Investigator Award (2018), Tom Ten Have Award (2017), and J. Parker Bursk Memorial Prize (2015). His work often addresses methodological challenges in causal inference, with applications to healthcare outcomes and policy analysis.
Teaching spans undergraduate and graduate levels, including courses like Applied Regression Analysis and Statistical Thinking. Fogarty has developed R software packages for Bayesian hierarchical models and sensitivity analysis, reflecting his commitment to computational tools for statistical practice.
