Old Enough for Nostalgia
Seeing the old coach terminal about to be demolished suddenly brought back many memories of the times I once took buses there.
Professional Summary
Yiran Wang is a statistician. His research interests lie in developing methods that bridge theory and practice for a broad range of statistical problems, including Bayesian inference, population size estimation, mediation analysis, data integration, and latent variable models.
Education
Ph.D. Statistics
2019-09-01
2024-08-19
University of Waterloo
M.S. Statistics
2017-09-01
2019-06-14
University of California, Irvine
B.S Statistics
2013-09-07
2017-06-30
Donghua University
Interests
Bayesian Statistics
Causal Inference
Statistical Ecology
📚 About Me
I have just finished my job as a postdoctoral associate at Yale School of Public Health, working with Dr. Bhramar Mukherjee.
I recently graduated from the University of Waterloo for my Ph.D. in Statistics, supervised by Dr. Audrey Béliveau and Dr. Martin Lysy.
My research is mainly concerned with Bayesian inference and is motivated by applications in a variety of fields. Currently, I’m working on Bayesian mediation analysis. During my Ph.D. study, I was working on capture-recapture methods and population size estimation. Moreover, I am also interested in various topics in Bayesian methods. I am still learning more and more new areas of statistics and biostatistics.
Recent Publications
(2026).
Towards Enhancing Data Equity in Public Health Data Science.
JAMA Health Forum.
(2025).
Advanced glycation end-product adducts alter the bone collagen network and human cortical bone fracture resistance.
JBMR Plus.
(2025).
Plant-Capture Methods for Estimating Population Size from Uncertain Plant Captures.
Epidemiology.
Blogs
First BDSY at Yale
First Big Data Summer Immersion at Yale just successfully finished!
Finally got my paper published!
It's been a while since I finished this though.
