KHstats
  • Blog
  • Talks
  • Illustrations
    • Visual Guides for Causal Inference
    • Educational Drawings and Comics
  • Research
    • Statistics Methods
    • Clinical Applications
    • Google Scholar Profile
  • IDWeek 2026
  • CV

Katherine (Kat) Hoffman

I am an MS-level biostatistician and fourth-year Biostatistics PhD student at the University of Washington. I am advised by Dr. Marco Carone and develop statistical methodology motivated by challenges that arise in infectious disease and vaccine research. My work is supported by Dr. Helen Chu in the Department of Medicine.

I am driven by the goal of advancing rigorous, reproducible biomedical research. My primary interests lie in causal inference, particularly for settings involving time-varying or continuous exposures and time-to-event outcomes.

Outside of my research collaborations, I enjoy writing blog posts about statistics, programming, and career-related topics. For many of my posts I create illustrations and infographics, such as my Visual Guides for Causal Inference series.

Recent news

Oct 2026
Presented “Viral Interference in US Adults and Children” at IDWeek 2026 in Washington D.C. (slides, poster)
Oct 2026
Paper “Interactions between respiratory viruses in US adults and children: a prospective cohort study” posted on MedRxiv.
Jul 2026
Paper “Immune correlates of risk for SARS-CoV-2 infection in children: a prospective, community-based cohort study” published in Nature Communications. (article)
Feb 2026
Attended the Isaac Newton Institute for Mathematical Sciences as a visiting scholar in the program, Causal inference: From theory to practice and back again.
Aug 2024
Awarded the American Statistical Association’s Gertrude M. Cox Scholarship.