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About

I am an 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 was fortunate to complete my PhD in Biomedical Data Science at Stanford University under the guidance of Euan Ashley and Trevor Hastie, and obtained a BS in Applied Mathematics from UCLA (more).

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The group is recruiting! We have openings on a rolling basis for postdocs and JHU students. Please reach out via email at etchin [at] jhu.edu with your interests, CV, and a brief description of yourself. For all prospective students (not at JHU), consider applying to the Biostatistics program and mention my name in your application.

If you’re interested in my work, share interests, and/or potentially want to collaborate, don’t hesitate to reach out. We're especially interested in collaborating with other researchers in AI ethics, AI/healthcare regulation, and systems-level approaches for health equity. You can contact me at etchin [at] jhu.edu or follow me on Twitter, Mastodon, or Threads.

Research

A complete list of publications is available on Google Scholar

* Co-first author