Phuong Vo

Department of Statistics and Probability, Michigan State University

"I am a fourth-year Ph.D. candidate at Michigan State University, supervised by Professor Yuehua Cui. My research focuses on developing an advanced approach for single-cell data deconvolution by extending the Latent Dirichlet Allocation (LDA) model to improve the identification of distinct cell types. I have conducted extensive simulations to validate the robustness and accuracy of this extended model compared to traditional LDA methods. Additionally, I have applied this method to real single-cell datasets, demonstrating its superior performance in resolving complex cellular mixtures and enhancing biological insights."

Education

Michigan State University, MI (Aug 2021 - Jul 2026 (expected): PhD Candidate, Statistics.

University of Toledo, OH (Aug 2019 - May 2021): Master's degree, Statistics.

Vietnam National University, HCMC (Aug 2014 - May 2018): Bachelor's degree, Mathematics and Computer Science.

Skills

  • R, Stata, SQL, SPSS, Python (Scikit-learn, Scipy, Numpy, Pandas, Seaborn)
  • Statistical Methods (Bayesian, MCMC, Survival Analysis, Longitudinal Data Analysis, Causal Inference)
  • Version Control: Git, GitHub, Gitlab
  • Language: English (Professional Working Proficiency), Vietnamese (Native language)

Hobbies

I enjoy cooking and traveling in my free time.

Mexican chicken and rice bowl

Mackinac Bridge - 2022

Washington DC - 2023

New York - 2023