Towards the Realistic, Robust, and Efficient Assessment of Causal Effects with Stochastic Shift Interventions
Abstract
My PhD qualifying examination presentation. The faculty committee consisted of Nicholas Jewell (chair), Mark van der Laan, Alan Hubbard, and Fernando Pérez.
Date
Fri, Sep 14, 2018 10:00 AM
Event
PhD Qualifying Examination, Graduate Group in Biostatistics, University of California, Berkeley
Location
Berkeley, California, United States
Nima Hejazi
NSF Postdoctoral Research Fellow in Biostatistics
My research broadly concerns the intersection of causal inference and machine learning, both in the development of novel methodology tailored to modern science and in applications to the statistical analysis of complex data from observational studies and experiments in the biomedical and health sciences.