Hello! I am a PhD Student in the Department of Biostatistics at the University of Washington.
My research interests include the design and analysis of clinical trials, statistical learning, and population health metrics. Currently, I am a Research Assistant with Dr. Fei Gao at Fred Hutchinson Cancer Research Center where we are working on statistical methods for estimating counterfactual placebo incidence of HIV for active-controlled trials in HIV prevention.
I am passionate about learning a new method or concept and then teaching it to others, whether it be in (bio)statistics, epidemiology, or programming and software development. I enjoy translating statistical models into flexible software applications, using both Python and R, with a special focus on designing efficient workflows for those applications using high performance computing.
I obtained my MS in Biostatistics in 2019. For my master’s thesis I worked with Dr. Ruth Etzioni on methods to estimate time to cancer progression or recurrence using population level data from cancer registries.
Previously I was a Post-Bachelor Fellow and a Researcher at IHME where I worked on a variety of statistical modeling projects for the Global Burden of Disease Study and contributed to training GBD collaborators from around the world and new Fellows in statistical and epidemiological methods as well as computing. I collaborate with Dr. Sasha Aravkin and the IHME Math Sciences team on developing methods and software tools for population health modeling that utilize heterogeneous data sources.
In 2016, I graduated from the University of Washington with a Bachelor of Science in Public Health and a minor in Math. Go Dawgs!