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Computational Biology & Causality
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Susan Gruber

Dr. van der Laan


Susan Gruber has experience in statistical and scientific computing,computer science and mathematics education. Her work with advisor Mark van der Laan focuses on causal inference. She has developed an R package that implements targeted maximum likelihood estimation of a point treatment effect, and is currently working on software that carries out collaborative targeted maximum likelihood estimation, a double-robust method of causal effect estimation. Susan holds a BS in Chemistry, an MS in Computer Science, an MPH in Epidemiology and Biostatistics, and is a 2011PhD graduatein Biostatistics. She was part of a team that received a 2006 Bears Breaking Boundaries award and Susan received the Eric Lehmann Award for an outstanding PhD dissertation in theoretical statistics. She is currently a postdoctoral research fellow at Harvard School of Public Health. Web site http://works.bepress.com/sgruber/.


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