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.”

While working as a biostatistician at a biopharmaceutical company in South Korea, Taek Son realized he wanted to improve his statistical knowledge, to be involved in projects that required cutting edge techniques, and to tackle public health issues. Pursuing a PhD in Biostatistics at UW was the most efficient way he saw to do this.

Alejandro Hernandez was a Computer Science student in his undergraduate studies, but found his way to studying biostatistics in graduate school due to a motivation and drive to apply data science in ways that improve people’s lives.

Biostatistics PhD student Yinxiang Wu has won a 2025 Distinguished Student Paper Award from the American Statistical Association Section on Statistics in Genomics and Genetics (SSGG) for his work, “A More Credible Approach to Multivariable Mendelian Randomization.”