Machine Learning and Causality

On behalf of Dr. Tarik Benmarhnia, Assistant Professor, Division of Epidemiology you are invited to the Society for Epidemiology Research (SER) Talk on Wednesday, April 24 from 2-4:00PM in Leichtag 107.Dr. Ashley Naimi is Assistant Professor of Epidemiology at the University of Pittsburgh. His research interests include causal inference, social epidemiology and human reproduction. Dr. Naimi develops and applies analytic methods to non-experimental data to assess the effectiveness of potential policy interventions to reduce the overall burden of and social disparities in adverse pregnancy and childhood outcomes.
A major focus of his work is the development, use and interpretation of statistical methods for causal mediation analysis in social epidemiology. He is adapting a variety of modeling techniques to estimate more realistic intervention effects (stochastic mediation contrasts). His approach relies heavily on the principles and concepts of causal inference, comparative effectiveness research and implementation science. The goal of this research is to develop targeted actionable strategies to reduce racial disparities in preterm birth.
If you would like to attend please register on the SER link https://epiresearch.org/serlibrary/sertalks/sertalks-sandiego/ so we can keep track of the number of participants.