Pingbo Hu portrait

Pingbo Hu

Postdoctoral Research Scientist in Biostatistics

Columbia University New York City, NY, USA

E-mail: ph2745@cumc.columbia.edu / pingbo.hu@gmail.com

About

Hello! I am currently a postdoctoral research scientist in biostatistics at Columbia University Irving Medical Center, working with Prof. Yifei Sun and Prof. Yize Zhao (Yale University). Prior to this, I was a research trainee at University of Western Ontario, Canada and Sichuan University, China. My research interests focus on statistical methodology and applications to address challenges concerning time-to-event data, longitudinal data, noisy data, survival analysis, nonparametric statistics, causal inference, and statistical learning. Please feel free to reach out if you’re interested in discussing research and potential collaboration opportunities!

Education

2020–2024 · Ph.D. in Statistics
University of Western Ontario, Canada (Advisor: Prof. Grace Y. Yi)
2017–2020 · M.Sc in Statistics
Sichuan University, China
2013–2017 · B.Sc. in Mathematics
Sichuan University, China

Research Interests

  • Statistical Learning
  • Nonparametric statistics
  • Survival & time-to-event analysis
  • Longitudinal methods
  • Noisy data
  • Causal inference

News

  • Nov 2025 — Our paper “Inference about Separable Causal Effects with Longitudinal Bivariate Ordinal Responses with Missingness and Censoring” is accepted by Statistics in Medicine.
  • Mar 2025 — Our paper “Addressing Label Noise in Causation Classification via Kernel Embeddings” is accepted by Statistica Sinica.
  • Apr 2024 — Our paper “Characterizing the COVID-19 dynamics with a new epidemic model: Susceptible-exposed-asymptomatic-symptomatic-active-removed,” published in The Canadian Journal of Statistics, is recognized among the journal’s Top 10 most-cited papers.
  • Mar 2024 — Our paper “Characterizing the COVID-19 dynamics with a new epidemic model: Susceptible-exposed-asymptomatic-symptomatic-active-removed,” published in The Canadian Journal of Statistics, is recognized as a Top Downloaded Article.
  • Jun 2022 — Receive the Junior Researcher Award from the International Chinese Statistical Association (ICSA).
  • Jan 2022 — Our paper “Characterizing the COVID-19 dynamics with a new epidemic model: Susceptible-exposed-asymptomatic-symptomatic-active-removed” is accepted by The Canadian Journal of Statistics.

Selected Publications

Inference about Separable Causal Effects with Longitudinal Bivariate Ordinal Responses with Missingness and Censoring
Pingbo Hu, Grace Y. Yi — Statistics in Medicine, Accepted, 2025
Addressing Label Noise in Causation Classification via Kernel Embeddings
Pingbo Hu, Grace Y. Yi — Statistica Sinica, In press, 2025
DOI
Characterizing the COVID-19 dynamics with a new epidemic model: Susceptible-exposed-asymptomatic-symptomatic-active-removed
Grace Y. Yi, Pingbo Hu, Wenqing He — The Canadian Journal of Statistics, 2022
DOI

Teaching

Mathematical Statistics

Lecturing tutorial, University of Western Ontario, Canada — Jan–Apr 2023; Jan–Apr 2024

Intermediate Probability

Lecturing tutorial, University of Western Ontario, Canada — Sep–Dec 2023

Calculus

Lecturing tutorial, Sichuan University, China — Sep 2018–Dec 2019

Probability Theory and Mathematical Statistics

Lecturing tutorial, Sichuan University, China — Mar–Jul 2018

Contact

Email: ph2745@cumc.columbia.edu / pingbo.hu@gmail.com

Address: Office: R606, 722 West 168th Street, New York City, NY, USA, 10032

Links: CV Google Scholar LinkedIn GitHub