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Lan Wen, Ph.D.

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I am a research fellow at the Harvard Epidemiology department. Prior to my postdoctoral training, I graduated from Cambridge University with a degree in Biostatistics. My primary areas of research to date has been on the development and application of statistical methods in causal inference and the analysis of observational studies where complications can arise due to model misspecification, time-varying confounding and censoring. I have a strong interest in modern causal inference methods (e.g. doubly and multiply robust estimators) that allow machine learning algorithms to be used to weaken parametric modelling assumptions.

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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.