University of Washington Master of Science in Biostatistics Capstone program graduates were recognized in a ceremony held Friday, Mar. 14 at the Hans Rosling Center for Population Health. See highlights from the event.

The Molecular Phenotypes of Nulle Alleles in Cells (MorPhiC) Consortium aims to advance the scientific understanding of the human genome, particularly, with regard to gene function at the molecular and cellular level. Read more about the Consortium’s goals, deliverables, and implementation plans was recently published in Nature.

From addressing health disparities in the Marshallese community in Washington state to analyzing trends in adolescent substance-related hospital visits, students in the University of Washington Biostatistics department’s Master of Science Capstone program have applied their knowledge and skills to help address a wide range of pressing public health challenges.

Biostatistics Professor Ali Shojaie is helping us unlock the complex systems of human health thanks to innovative statistical methods.

Guanghao Qi receives a $945, 000 K01 award from the NHGRI to study single-cell expression quantitative trait loci (eQTL) data, which characterizes effects of genetic variants on gene expression at the cell level.

UW researcher Kevin Lin is part of a collaborative team developing new statistical techniques designed to account for human variability, cognitive resilience, and potential confounding factors in Alzheimer's disease. The work aims to extract meaningful insights into how certain individuals resist cognitive decline despite extensive AD pathology.

Applying mathematics to address public health challenges was a strong motivator for Zhilong Zhang to choose UW’s Biostatistics program. Zhang is pursuing a Master of Science in Biostatistics in the MS Thesis program, and is currently working with Dr. Ting Ye on a Mendelian Randomization project.

Biostatistics PhD student Yuhan Qian has won first place in the 2025 American Statistical Association (ASA) Student Paper Competition in the Biopharmaceutical Section for his paper, “From Estimands to Robust Inference of Treatment Effects in Platform Trials.”