Marie is a postdoctoral fellow in the Divisions of Biostatistics and Epidemiology at the UC Berkeley School of Public Health, where she is mentored by Professors Maya Petersen and Mark van der Laan. Her research interests span statistical learning, causal inference, and network science, with a focus on their applications in medicine and public health.
Her dissertation evaluated the potential of repurposing antidiabetic and antihypertensive medications to prevent or delay the onset of Alzheimer’s disease and related dementias, through the retrospective analysis of data from...
Yi Li is a CTML Postdoctoral Scholar in the Division of Biostatistics at UC Berkeley School of Public Health, mentored by Mark van der Laan. Yi's research interests span targeted learning, causal inference, and survival analysis, with a growing interest in agentic AI and AI for science.
Yi's dissertation, "Regularized Targeted Learning under Analytic Intractability," developed methods for stable estimation and reliable inference when the usual tools of targeted learning, such as a tractable efficient influence curve (the formula guiding the targeting step) or a variance formula, are...
