I am a statistician and data scientist specializing in Bayesian modeling,
functional data analysis, and health data analytics.
Currently, I am completing my PhD in Statistics at Northern Illinois University,
where my research focuses on multivariate longitudinal data and Bayesian functional factor models.
I enjoy solving real world problems using rigorous statistical methods and reproducible analysis workflows.
- Bayesian modeling and inference
- Functional data analysis
- Factor models and dimension reduction
- Longitudinal and multilevel models
- Biostatistics and health disparities
- Machine learning methods
- Programming: R, Python, SQL, SAS
- Methods: Bayesian MCMC, hierarchical models, PCA/FA, survey statistics
- Tools: Git, GitHub, R Markdown, tidyverse, high performance computing
Here are some projects I work on or will publish soon (more to come):
-
Bayesian Functional Factor Analysis
Eigenfunction estimation, smoothing priors, and temporal factor modeling. -
Social Determinants of Health
Statistical modeling using national health datasets to understand PHCD, waist circumference, pain outcomes, and disparities. -
Consulting and Applied Statistics
Experience in medical, educational, transportation, and public health projects.
Responsibilities include data cleaning, modeling, reproducible workflows, and report writing.
I will gradually add open source code examples and reproducible demos here.
- Google Scholar: https://scholar.google.com/citations?user=otxnmaQAAAAJ&hl=zh-CN
- LinkedIn: https://www.linkedin.com/in/boshi-zhao-7267b1222
- GitHub Pages website: https://boshi19920920-tech.github.io/Boshi-Zhao.github.io/
Email: boshi19920920@gmail.com
Feel free to reach out if you would like to collaborate or connect.
⭐ Thank you for visiting my GitHub profile. More updates coming soon.