Stanford Health Policy Seminar: Alejandro Schuler
Stanford Health Policy Seminar: Alejandro Schuler
Friday, April 25, 202512:00 PM - 1:00 PM (Pacific)
After registering, you will receive a confirmation email. For Zoom participants, the link will be in the confirmation email.
Registration
Hybrid Seminar: Lunch will be provided for on-campus participants.
Please register if you plan to attend, both for in-person and via Zoom.
Log in on your computer, or join us in person:
Encina Commons, Room 119
615 Crothers Way
Stanford, CA 94305
Talk Title: TBD
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.