Keith Barnatchez is a biostatistics PhD student at Harvard University, advised by Rachel Nethery and Giovanni Parmigiani. He is interested in developing methods for addressing challenges to observational causal inference, particularly when 1) important variables are subject to measurement error, and 2) data is collected from numerous sources, each with their own potential sources of bias. Keith also works with Marie-Abele Bind on developing methods for external control trials in ALS research.
