About

About

I am a assistant professor in the Department of Biostatistics at Johns Hopkins University. My research interests lie in developing and improving systems to support ethical, equitable, and robust decision making. We develop and apply methodologies in causal inference, algorithmic fairness, and machine learning to systems-level problems in public health, focusing on health inequities produced by structural injustice and policy impact.

I fortunate to complete my PhD in Biomedical Data Science at Stanford University under the guidance of Euan Ashley and Trevor Hastie and my research was generously funded by the National Science Foundation Graduate Fellowship and Stanford Graduate Fellowship. Previously, I received my BS in Applied Mathematics at UCLA, where I worked with Xinshu (Grace) Xiao. I have also worked under the guidance of Rachel Martin, Carter Butts, and Pardis Sabeti, and as a machine learning and data science roles at Adobe Systems and Quora.