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Daniel Rubin

Dr. van der Laan

 

Daniel Rubin graduated with a Ph.D. in biostatistics from UC Berkeley in 2009, and previously obtained an M.S. in statistics and a B.S. in mathematical and computational science from Stanford University. Under the supervision of Dr. van der Laan, Daniel wrote his dissertation on "Applications of Double Robustness," which dealt with making statistical methods more robust to violations of assumptions in censored data problems. While at Berkeley he conducted research on covariance adjustment in randomized trials, smoothing problems in survival analysis, causal inference, and ecological inference. Currently he is a statistician at the Food and Drug Administration, in their Center for Drug Evaluation and Research.
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