Biography
I am an Assistant Professor in the
Department of
Biostatistics at the
Harvard T.H.
Chan School of Public Health. Very recently, I
was an
NSF mathematical sciences postdoctoral research
fellow, during which
time I worked closely with
Iván Díaz,
David
Benkeser, and
Peter
Gilbert.
Prior to this, I obtained my PhD in biostatistics from
UC
Berkeley under the
supervision of
Mark van der Laan and
Alan Hubbard. During
that period, I was on the founding core development team of the
tlverse
project, an open source software ecosystem for
targeted learning, and I enjoyed longstanding
scientific collaborations with the
Bill and Melinda Gates
Foundation
and the
Fred Hutchinson Cancer
Center.
My research interests combine causal inference and machine learning, aiming to develop robust, efficient, and assumption-lean statistical methods with a problem-first approach, tailored to issues arising in scientific collaborations. I am often, but not exclusively, motivated by methodological topics drawn from distribution-free (nonparametric) inference, semiparametric-efficient inference, high-dimensional inference, targeted minimum loss estimation, and modern issues in the design of experiments (outcome-dependent sampling, sequentially adaptive treatments), for applications in clinical trials and computational biology. Although my substantive scientific interests are diverse, I have recently been captivated by statistical issues stemming from vaccine efficacy trials and infectious disease epidemiology. I am also deeply interested in high-performance statistical computing and open source software design to promote reproducibility in applied statistics and data science.
Interests
- Causal Inference, Missing Data, and Causal Machine Learning
- Nonparametric Inference and Statistical Machine Learning
- Modern Study Designs and Adaptive Experimentation
- High-Dimensional Inference and Computational Biology
- Statistical Computing and Reproducible Data Science
Education
-
PhD in Biostatistics (designated emphasis in Computational & Genomic Biology), 2021
University of California, Berkeley
-
MA in Biostatistics, 2017
University of California, Berkeley
-
BA with a triple major in Molecular & Cell Biology (em. Neurobiology), Psychology, and Public Health, 2015
University of California, Berkeley