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Daniel Xu, PhD Image

Daniel Xu, PhD, is a Postdoctoral Researcher in Biostatistics and Epidemiology in the Department of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania’s Perelman School of Medicine. He is affiliated with the Center for Causal Inference (CCI) and the Center for Health Innovations in Reproductive and Perinatal Population Research (CHIRP) and is mentored by Eric Tchetgen Tchetgen, Enrique Schisterman, and Ellen Caniglia. His research broadly focuses on causal inference, with particular interests in proximal methods, semi-supervised learning, mediation analysis, and transfer learning.

Research Areas

Causal Inference, AI/ML, Novel Methods, Semiparametric Theory, Evidence Synthesis

Education

  • PhD in Biostatistics, Harvard University 2025
  • AM in Biostatistics, Harvard University 2022
  • BA in Biophysics, University of Pennsylvania 2019
  • BS in Economics, University of Pennsylvania 2019

Contact

Email: Daniel.xu2@pennmedicine.upenn.edu
🎓 Google Scholar
🔗 GitHub

Research Highlights

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