Jing Guo
- Email: jguo2@csuchico.edu
- Phone: 530-898-6564
Research Interests:
- Graph learning
- Nonparametric regression and functional data analysis
- Relative survival for cancer research
CURE-E Course: Advanced Topics in Data Science (MATH/CSCI 485), Spring 2024
Project Title: Data science modeling of the Surveillance, Epidemiology, and End Results (SEER) data to explore predictive factors for cancer survival
The proposed CURE-E project encourages students to explore predictive factors for cancer survival using a real-world dataset Surveillance, Epidemiology, and End Results (SEER). Upon successful completion of the CURE-E project, students will be able to provide the following new knowledge to our discipline:
- Discover the factors that could be used to predict cancer survival.
- Develop and implement novel data science modeling methods or algorithms.