📍 Seattle, WA

Data Science · Clinical Development · Statistics

Statistics and Biochemistry student @ UW

Projects

Bayesian Analysis of COVID-19 Vaccine Efficacy

Bayesian Statistics

Bayesian modeling and mathematical analysis, comparing COVID-19 vaccine effectiveness using statistical inference methods.

R · Bayesian analysis · Statistical modeling

Isometric EMG Resistance for Accessible Hyperkinesia Control

Neural Decoding

Logistic classification of EMG recordings during simulated hyperkinetic twitches, proposing steady isometric resistance as a reliable control input for assistive interfaces.

TensorFlow · Signal processing · Accessibility

R-Shiny Dashboard

In Progress

Shiny dashboard exploring vaccine coverage (DTP3, MCV1, BCG) against health expenditure trends, with clustering to surface regional and income-based patterns over time.

R-Shiny · UMAP · HDBSCAN

Experience

Incoming

Amgen (Operational Design Analytics)

Researcher

Oct 2023 – Present

University of Washington (Arce-McShane Group)

Data Science Intern

June – Aug 2025

Fred Hutchinson Cancer Research Center

Teaching Assistant

Mar – Jun 2025

University of Washington

Behavioral Data Research Assistant

Oct 2023 – Nov 2024

Washington National Primate Center

Research

View Hannah presenting research at the UW Undergraduate Research Symposium
May 2025: Presenting at the UW Undergrad Research Symposium
View Hannah giving a talk at the 2025 WaNPRC Symposium
Presentation + Talk at the 2025 WaNPRC Symposium

Currently:

I'm working with a PhD student on probabilistic state-space modeling of feeding behavior, using sticky Poisson hidden Markov models to decode latent oral-behavior states from neural population activity.