PhD Candidate in Statistical Science
at Southern Methodist University
I am a PhD candidate in Statistical Science at Southern Methodist University. My research focuses on Bayesian nonlinear time-series modeling, statistical learning, uncertainty quantification and natural language processing.
I am currently preparing for academic and research-oriented positions, including postdoctoral fellowships, research scientist roles, and teaching-focused faculty positions in statistics, biostatistics, data science, and related fields.
Research Interests
- Bayesian statistics
- Nonlinear time series
- Natural language processing
- Uncertainty quantification
- Statistical learning
- Computational statistics
- Data science
Current Research
My current research develops flexible Bayesian nonlinear autoregressive models using Bernstein polynomial representations for nonlinear time-series forecasting and uncertainty quantification, and applies Bayesian Inference to natural language processing tasks such as sentiment analysis and text classification.
Advising: Current advisor: Raanju R. Sundararajan. Previous NLP/sentiment-analysis advisor: Jing Cao, Ph.D..
Contact
Email: yuanli@smu.edu
GitHub: https://github.com/LiYuan199701