Columbia Mailman School of Public Health
Centennial Distinguished Speakers Series
February 3, 2022
5:00 p.m. EST
Virtual Webinar
Registration Required
Speaker Bios
Featuring
Eric J. Tchetgen Tchetgen, PhD (Keynote Speaker)
Luddy Family President’s Distinguished Professor
Professor of Statistics and Data Science
The Wharton School of the University of Pennsylvania
Abstract: In this talk, I discuss recent advances at the nexus of Causal Inference, Semiparametric Statistics and Machine Learning in the gilded age of modern data science, with emphasis given to sound and responsible decision-making in Public Health and Medicine. I argue with several recent developments, that important scientific progress can be made more likely by fruitful interaction between these three disciplines than without; however, such success will require constant vigilance to ensure that key foundational principles underpinning each discipline are preserved and respected. For illustration, I consider the potential utility and limitations of several recent advances that are emblematic of this (un)holy union, including Conformal predictive causal inference, Double-debiased machine learning, Credence and the so-called Deconfounder.
Kiros Berhane, PhD (Moderator)
Cynthia and Robert Citron-Roslyn and Leslie Goldstein Professor, Biostatistics
Chair, Biostatistics
Columbia Mailman School of Public Health
Daniel Malinsky, PhD (Panelist)
Assistant Professor, Biostatistics
Columbia Mailman School of Public Health
Caleb Miles, PhD (Panelist)
Assistant Professor, Biostatistics
Columbia Mailman School of Public Health
Kara Rudolph, PhD, MHS, MPH (Panelist)
Assistant Professor, Epidemiology|
Columbia Mailman School of Public Health
Linda Valeri, PhD (Panelist)
Assistant Professor, Biostatistics
Columbia Mailman School of Public Health
