CV
Basics
| Name | Yanfei Zhou |
| Label | Ph.D. Candidate in Data Sciences and Operations |
| yanfeizh@usc.edu | |
| Url | https://yanfeifionazhou.github.io |
| Summary | Ph.D. candidate in Data Sciences and Operations (Statistics)at USC Marshall School of Business, researching Conformal Inference and Deep Learning |
Work
-
2025.05 - 2025.08 -
2024.05 - 2024.08 Applied Scientist Summer Intern
Amazon Web Services (AWS)
- Machine Learning
- Large Language Models
- Statistical Analysis
-
2020.01 - 2021.12 Data Scientist
CNA Insurance
Developed machine learning models for risk assessment and pricing optimization. Conducted statistical analysis on insurance claims data.
- Machine Learning
- Risk Assessment
- Statistical Analysis
Education
-
2021.08 - Present Los Angeles, CA
Ph.D. in Statistics
University of Southern California, Marshall School of Business
Data Sciences and Operations (Statistics)
- Conformal Inference
- Deep Learning
- Uncertainty Quantification
-
2019.09 - 2020.06 Chicago, IL
-
2016.09 - 2019.06 London, UK
Skills
| Statistics & Machine Learning | |
| Conformal Inference | |
| Uncertainty Quantification | |
| Deep Learning | |
| Causal Machine Learning | |
| Online Learning | |
| Statistical Modeling |
| Programming | |
| Python | |
| R | |
| Statistical Computing |
Languages
| English | |
| Fluent |
| Chinese | |
| Native speaker |
Interests
| Research | |
| Conformal Inference | |
| Uncertainty Quantification | |
| Deep Learning | |
| Causal Machine Learning | |
| Online Learning |