About Me. I am an Assistant Professor in the Department of Statistics at the University of Washington, with an affiliate appointment in the Vaccine and Infectious Disease Division at the Fred Hutchinson Cancer Research Center.
I completed my PhD in biostatistics at UC Berkeley in 2016, under the supervision of Mark van der Laan. My dissertation, titled "Evaluating Optimal Individualized Treatment Rules", was awarded the Extraordinary Student Research Award from the Berkeley Division of Biostatistics and the Eric Lehmann Citation from the Berkeley Department of Statistics. The first three years of my graduate study were supported by the Department of Defense through the National Defense Science and Engineering Graduate (NDSEG) Fellowship. My final year was supported by the Berkeley Fellowship. I received my ScB in Applied Math from Brown University in 2012.
Research. Many of the problems I work on involve estimating quantities arising in causal inference using tools from supervised machine learning. Much of my work has focused on developing methods to obtain inference for quantities arising in precision medicine. These techniques also provide solutions to more general non-regular problems. Additionally, I have worked on higher-order (faster than root-n rate) semiparametric inference problems, developed fast rates for estimators in precision medicine applications, and presented the first two sequentially doubly robust estimators for longitudinal causal effects. I have also worked on automating efficient statistical inference in both restricted and unrestricted models.
In another line of work, I have tackled a number of exciting and challenging problems arising in infectious disease research. Much of this work has focused on developing statistically rigorous methods for analyzing data from vaccine efficacy trials. One of these methods provided important insights into the safety profile of the dengue vaccine. I am also a statistician on the Imbokodo HIV vaccine efficacy trial in Southern Africa and the Mosaico HIV vaccine efficacy trial in the Americas and Europe.
Funding. I am grateful to the NIH for support through an NIH Director’s New Innovator Award and through the HIV Vaccine Trials Network Statistical and Data Management Center. I am also grateful to Amazon for their support through an AWS Machine Learning Research Award.