Causal Inference, Semiparametric Inference, Targeted Machine Learning, Targeted Maximum Likelihood Estimation, Data-adaptive Estimation, and Adaptive Trial Designs
Honors and Awards
- Young Investigator Award, CROI 2016
- Extraordinary Student Research Award, Biostatistics, UC Berkeley, 2014
- Chateaubriand Fellowship 2012
|2011 ‐ 2014||PhD, University of California, Berkeley ‐ Division of Biostatistics|
101 Haviland Hall
University of California
Berkeley, CA 94720
Drawing Valid Targeted Inference When Covariate-adjusted Response-adaptive RCT Meets Data-adaptive ...
U.C. Berkeley Division of Biostatistics Working Paper Series (2015)
Adaptive clinical trial design methods have garnered growing attention in the recent years, in large part due to their greater ...
Asymptotic Theory for Cross-validated Targeted Maximum Likelihood Estimation
U.C. Berkeley Division of Biostatistics Working Paper Series (2010)
We consider a targeted maximum likelihood estimator of a path-wise differentiable parameter of the data generating distribution in a semi-parametric ...
Book Chapters (2)
Contribution to Book
Targeted Covariate-Adjusted Response-Adaptive LASSO-Based Randomized Controlled Trials
U.C. Berkeley Division of Biostatistics Working Paper Series (2014)
We present a new covariate-adjusted response-adaptive randomized controlled trial design and inferential procedure built on top of it. The procedure ...