I am a biostatistics postdoctoral researcher and TB RAMP scholar at the University of California, San Francisco’s Division of Pulmonary and Critical Care Medicine. Working in close collaboration with UNITE4TB, my current research explores statistical approaches for decision-making in multi-arm regimen-building Phase IIB trials.
I continue to collaborate with the World Mosquito Program to develop and apply novel statistical methodology for the analysis of data from (quasi-)experimental trial designs aimed at assessing the effectiveness of Wolbachia in the control of dengue.
Through consultancies and shorter-term research opportunities, I have also gained experience working with occupational cohort data, survey data, and biomedical big data.
PhD in Biostatistics, 2020
University of California, Berkeley
MA in Biostatistics, 2017
University of California, Berkeley
BA in Applied Mathematics and Statistics, 2015
Macalester College
Introgression of wMel into A. aegypti populations is effective in reducing the focal transmission of dengue virus, leading to reduced case incidence.
Introgression of wMel into A. aegypti populations was effective in reducing the incidence of symptomatic dengue and resulted in fewer hospitalizations for dengue among the participants.
Working with Ellen Eisen, ScD at the University of California, Berkeley, we used an iconic occupational cohort database to explore the …
My postdoctoral research at UCSF has focused on the development of a Bayesian-supported framework for decision-making in adaptive Phase …
Working with Mark Powell, MD MPH at the Buck Institute, I help examine genotype and blood biomarkers and their associations with …
Vector-borne diseases are a growing threat to global health. I help develop statistical methods to rigorously evaluate the impact of …