MPH: Biostatistics, University of California Irvine, 2024
BA: Public Health Studies, Johns Hopkins University, 2018
Thesis Adviser: Kevin Josey, PhD
Research Interests: Causal Inference and Environmental Health.
MS: Biostatistics, ColoradoSPH, CU Anschutz
MS thesis title: “Viability of sequence balance minimization and information sharing as a doubly adaptive trial design.”
BA: Analytical Public Health, Statistics concentration, St. Olaf College
Thesis Adviser: Alex Kaizer, PhD
Possible Thesis Title: “Covariate-adaptive randomization and information-sharing innovations in adaptive clinical trial designs.”
Research Interests: adaptive clinical trial designs, covariate-adaptive randomization, information sharing.
BS: Mathematics (Statistics), Arizona State University
Thesis Adviser: Debashis Ghosh, PhD
Research Interests: Causal Inference, Proximal Causal Inference, Transportability, Clinical Trial Emulation.
Student Spotlight Series: Jacob Kebe
MPH: Biostatistics Concentration, New York University
BS: Mathematics, Criminal Justice Minor, University of Massachusetts Boston
Thesis Adviser: Ryan Peterson, PhD, & Yue Wang, PhD
Research Interests: Model selection, Post-selection Inference, Spatial Transcriptomics, Reproducibility.
MPH: Epidemiology, ColoradoSPH
BS: Fermentation and Food Science, Colorado State University, Summa cum laude
Research Interests: Clinical trials, infectious disease, reproducibility, and research rigor.
PhD Student
PhD Student
B.S.: Statistics, Shanghai University of Finance and Economics
M.S.: Biostatistics, University of Minnesota
Adviser: Fuyong Xing, PhD
Thesis Topic Idea: Applying deep learning methods to medical imaging data.
PhD: Genomic Medicine, Medical College of Georgia, Augusta University
Master: Fudan University, Shanghai, China
Undergraduate: Anhui Medical University, Anhui, China
Thesis Adviser: Yue Wang, PhD
Research Interests: High-dimensional multi-view data integration and dimensionality reduction.
BS & MS: Bioinformatics and Computational Biology, Worcester Polytechnic Institute
Thesis Adviser: Camille Moore, PhD
Thesis Title: Evaluating Reference-Mixture Matching in Cell-Type Deconvolution with Single-Cell RNA-seq References
Research Interests: Genomics.
Yuanqing Liu
M.A.: Biostatistics, Brown University
B. Economics: Insurance, Shanghai University of Finance and Economics
Thesis Adviser: Alex Kaizer, PhD
Thesis Title: Bayesian Group Sequential Enrichment Design for Biomarker-Guided Adaptive Clinical Trials
Research Interests: Adaptive trial design, Bayesian modeling.
M.S.: Biostatistics, University of Michigan
B.S.: Life Science Informatics, Statistics, University of Michigan
Research interests: Genomics, transcriptomics, and multiomics data integration; computational immunology; longitudinal and spatial data analysis; graphical models and network analysis; machine learning; deep learning.