Stanford Health Policy Seminar: Alejandro Schuler - Free from the ATE: Defining and Estimating Your Own Causal Effects
Stanford Health Policy Seminar: Alejandro Schuler - Free from the ATE: Defining and Estimating Your Own Causal Effects
Friday, April 25, 202512:00 PM - 1:00 PM (Pacific)
Health Policy Seminars are hybrid events open to the Stanford community. For more information, please reach out to healthpolicy-comms@stanford.edu
Encina Commons, Room 119
Department of Health Policy/Center for Health Policy
615 Crothers Way, Stanford
Lunch will be provided
Talk Title: Free from the ATE: Defining and Estimating Your Own Causal Effects
Alejandro Schuler is an Assistant Professor in Residence in the Division of Biostatistics at UC Berkeley with expertise in nonparametric statistics, causal inference, and machine learning.
Dr. Schuler is known for developing NGBoost, the selectively adaptive lasso, and prognostic adjustment, among other methods. Besides methods development, he collaborates with domain experts to translate their questions to mathematical formalisms and bring the right methods to bear on them.
He completed his PhD at Stanford in 2018 and worked as a postdoc with Mark van der Laan before starting on the faculty at Berkeley. His experiences working as a data scientist at Kaiser Permanente’s Division of Research and as an early employee of a health tech startup helped shape his research agenda into something with relevance beyond academia.