Bio

I received my Ph.D. in Statistics from the University of California, Irvine, where I focused on developing innovative Bayesian nonparametric methods with broad applications in fields ranging from imaging to educational data analysis. As a postdoctoral scholar at Stanford University, I have expanded my research portfolio by integrating both frequentist and Bayesian perspectives to address challenges in clinical trial analysis and biomedical data interpretation, incorporating deep learning approaches.

Honors & Awards

  • EAC-ISBA 2022 Best Poster Award, ISBA (2022)
  • IBM Student Research Award, NESS (2021)
  • IMS Hannan Graduate Student Travel Award, IMS (2020)
  • China National Scholarship Award, China (2016)

Professional Education

  • Doctor of Philosophy, University of California Irvine (2023)
  • Master of Science, University of California Irvine (2020)
  • Bachelor of Science, East China University of Science and Technology (2018)
  • PhD, The University of California, Irvine, CA, Statistics (2023)
  • MS, The University of California, Irvine, CA, Statistics (2020)
  • BS, East China University of Science and Technology, Shanghai, China, Applied Mathematics (2018)

Stanford Advisors

Contact

  • Academic
    tianyup2@stanford.edu
    University - Scholar Department: Pathology Position: Postdoctoral Scholar

Additional Info

  • Mail Code: 5324

Links