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/.