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Tuesday, October 6
 

20:00 UTC

S121 - Advances in Statistical Methodology for Complex and High-Dimensional Data
Tuesday October 6, 2026 20:00 - 21:00 UTC
This invited session showcases recent advances in statistical methodology for analyzing increasingly complex, high-dimensional, and structured data arising in biomedical research, imaging, surveys, and longitudinal studies. The presentations introduce innovative approaches to sufficient dimension reduction, scalable spatial topic modeling for multiplexed imaging, Bayesian small area estimation under informative sampling, and Bayesian semiparametric quantile mixed-effects models for longitudinal data with missing responses. Together, these talks highlight modern statistical techniques that combine methodological rigor with computational efficiency to address emerging challenges in data science, while demonstrating broad applicability across diverse scientific disciplines.
Speakers
avatar for Mai Dao

Mai Dao

Assistant Professor, Wichita State University
Dr. Mai Dao is an Assistant Professor of Statistics in the Department of Mathematics, Statistics, and Physics at Wichita State University. She obtained her Ph.D. from Texas Tech University under the supervision of Professors Min Wang (The University of Texas at San Antonio) and Souparno... Read More →
avatar for Chenlu Ke

Chenlu Ke

Virginia Commonwealth University
Dr. Chenlu Ke is an Associate Professor in the Department of Statistical Sciences and Operations Research at Virginia Commonwealth University. Her research focuses on methodological and computational developments for high- and ultrahigh-dimensional complex data, with applications... Read More →
avatar for Yanghyeon Cho

Yanghyeon Cho

University of Idaho
Yanghyeon Cho is an Assistant Professor in the Department of Mathematics and Statistical Science at the University of Idaho. Her research interests include survey sampling and statistical genetics, with a focus on small area estimation, Mendelian randomization, and multi-omics data... Read More →
avatar for Xiyu Peng

Xiyu Peng

Texas A&M University
Dr. Xiyu Peng is an assistant professor in the Department of Statistics at Texas A&M University. Her research focuses on developing statistical and computational methods for resolving temporal and spatial dynamics in single cell omics data with applications in cancer. She got her... Read More →
Chairs/Hosts Organizers
Tuesday October 6, 2026 20:00 - 21:00 UTC
Zoom Room #1
 
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