معرفی
Dao Nguyen is an Associate Professor of Mathematics and Assistant Professor of Statistics at the University of Mississippi, affiliated with the Department of Mathematics within the College of Liberal Arts. He holds a Ph.D. in Statistics from the University of Michigan (2016) and served as a postdoctoral scholar at the University of California, Berkeley. His research focuses on computational statistics, simulation-based inference, stochastic optimization, and machine learning, with specific interests in Langevin Monte Carlo methods, blackbox sampling, and applications in infectious disease modeling. He teaches courses ranging from introductory statistics to advanced statistical computing.
Research Interests:
- Computational Statistics
- Stochastic Optimization
- Monte Carlo Methods (e.g., Langevin Algorithms)
- Machine Learning Applications
- Mechanistic Modeling for Infectious Diseases
- Statistical Software Development (e.g., R packages)
Publications Trends: Nguyen’s recent work emphasizes methodological advancements in sampling algorithms, non-convex optimization, and interdisciplinary applications in environmental health and global ecology. His articles frequently address challenges in high-dimensional data analysis, algorithmic efficiency, and bridging theory with practical implementations.
Education:
- Ph.D. in Statistics, University of Michigan-Ann Arbor (2016)
- Postdoctoral Research, University of California, Berkeley (2016–2017)
Teaching & Advising: Nguyen instructs courses such as Statistical Computing and Data Analysis and Mathematical Statistics. While no advisees are listed, his research group likely engages in collaborative projects across disciplines.
