Carolyn Hutter, a University of Washington alumnae, has been named Acting Director for Genetics & Epidemiology at the National Human Genome Research Institute (NHGRI).

PhD student Connie Zhang has received a 2025 National Science Foundation Graduate Research Fellowship for her work on developing methods for high-dimensional multivariate time series analysis through GARCH models. The model, which she is developing in partnership with faculty member Ali Shojaie, shows promise in identifying biomarkers for Alzheimer's disease, which could facilitate earlier diagnosis and more effective interventions.

UW Biostatistics hosted an all-day colloquium April 4, drawing students, faculty, and alumni together for a dynamic day of learning, inspiration, and connection. The event showcased a wide range of biostatistical work conducted by alumni in various fields, and provided a unique networking opportunity for students and alumni.

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.