Yiran Wang 🔬

Yiran Wang

(he/him)

Researcher

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
Blogs

Leaving Yale

It's been a fruitful year.

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Yiran Wang
First BDSY at Yale featured image

First BDSY at Yale

First Big Data Summer Immersion at Yale just successfully finished!

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Yiran Wang
Finally got my paper published! featured image

Finally got my paper published!

It's been a while since I finished this though.

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Yiran Wang
A Summary of 2024 featured image

A Summary of 2024

Wow, I really did a bad job at updating my blogs.

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Yiran Wang
Travels in 2023! featured image

Travels in 2023!

In 2023, I first time went to Alberta and BC!

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Yiran Wang