Yajuan Si - Research Associate Professor

Yajuan Si

Research Associate Professor

Ann Arbor, Michigan, United States

Join Prog.AI to see contacts

Summary

👤

Senior

🎓

Top School

Yajuan Si is a Research Associate Professor at the University of Michigan with nine years of post-PhD experience developing advanced Bayesian methods for latent variable models, complex survey inference, missing data, causal inference, and data confidentiality. Her work spans academia and applied research, from postdoctoral and faculty roles at Columbia, Wisconsin–Madison, and Michigan to earlier methodological projects at Duke and ETS focused on large-scale survey imputation. She combines deep theoretical expertise with practical solutions for high-dimensional categorical imputation and disclosure-risk reduction, often leveraging nonparametric Bayesian tools like Dirichlet process mixtures. Based in Ann Arbor, she brings a global training background (Duke, Hong Kong, Renmin University) and a track record of translating cutting-edge methodology into tools that address real-world survey and privacy challenges.

9 years of coding experience

12 years of employment as a software developer

PhD, Statistics, PhD, Statistics at Duke University

The University of Hong Kong (HKU)

BE, Statistics (minor on Actuarial Science), BE, Statistics (minor on Actuarial Science) at Renmin University of China

Chinese, English

Github Skills (8)

r-package7

stan4

mcmc4

rstan3

bayesian-data-analysis3

bayesian-statistics3

bayesian-inference3

Programming languages (1)

Github contributions (5)

yajuansi-sophie/weighting

Feb 2017 - Jul 2017

Contributions:23 commits, 12 pushes, 1 branch in 5 months

yajuansi-sophie/SynRep

Sep 2023 - Apr 2024

Contributions:4 pushes, 1 branch in 7 months

Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.

Request Free Trial