General Exam - Jaewon Lim
Committee: Alex Luedtke (chair), Marco Carone, Ting Ye, Abraham Flaxman (GSR)
Presentation: Estimation and inference for function-valued parameters with data fusion and multimodal data
Abstract: There is a growing literature on estimating function-valued parameters by combining tools from semiparametric efficiency theory and statistical learning. Another trend is the increasing use of multiple data sources that share only partially overlapping information, estimation by integrating such sources through data fusion and multimodal fusion. In this dissertation, I develop theory and methodology at the intersection of these two directions.
In the first aim, I study data fusion for estimating causal dose-response functions (CDRFs). Estimating CDRFs is challenging because a single dataset typically provides limited support across the exposure space, leading to poor precision at many dose levels. I introduce a data fusion framework that leverages partially aligned sources, and I construct a Neyman-orthogonal loss…
Event interval: Single day event. Online Meeting Link: https://washington.zoom.us/j/93986181191. Campus room: Online. Accessibility Contact: Deb Nelson, nelsod6@uw.edu, 206-685-9323. Event Types: Academics.
Wednesday, March 18, 2026, 10:00 AM – 12:00 PM.
Biostatistics Seminar: Five lessons for target gene identification in the post-GWAS era
Speaker: Boxiang Liu, PhD, Presidential Young Professor,Department of Pharmacy and Pharmaceutical Sciences & Department of Biomedical Informatics, National University of Singapore; Principal Research Scientist, Genome Institute of Singapore, A*STAR
Title: Five lessons for target gene identification in the post-GWAS era
Abstract: Despite over a million risk variants identified by genome-wide association studies (GWAS), translating these associations into therapeutic insights remains a bottleneck in genomic medicine. In this talk, I present five critical lessons from post-GWAS research that collectively advance our ability to pinpoint disease-relevant target genes. Using large-scale single-cell RNA sequencing across diverse Asian populations and gene-by-intervention studies, we highlight the significance of cell-type-specific QTLs, ancestry-driven genetic insights, and context-dependent gene regulation. Our systematic benchmarking of over gene implication methods shows that ensemble approaches and adaptive…
Event interval: Single day event. Campus room: Virtual Seminar. Accessibility Contact: Deb Nelson, nelsod6@uw.edu, 206-685-9323. Event Types: Academics.
Thursday, March 19, 2026, 3:30 PM – 4:30 PM.