Scholar
Yanfei Zhou
Google Scholar ID: YJ5oVF4AAAAJ
University of Southern California
Citations & Impact
Citations
105
H-index
4
i10-index
3
Publications
5
Co-authors
3
list available
Publications
Resume (English only)
Academic Achievements
- Publications: 'Conformal Inference for Open-Set and Imbalanced Classification' (arXiv, 2025), 'Conformal Classification with Equalized Coverage for Adaptively Selected Groups' (NeurIPS, 2024); Awards: Marshall PhD Fellowship (2025), Best Poster Award at SEEDS 2025 Conference (2025), Outstanding Teaching Assistant Award (2025).
Research Experience
- Data Scientist Summer Intern at Microsoft (Summer 2025); Research on Conformal Inference and Deep Learning with Professor Matteo Sesia.
Education
- Ph.D.: University of Southern California (USC), Marshall School of Business, Data Sciences and Operations, Advisor: Matteo Sesia, Expected Graduation: May 2026; Master's Degree: University of Chicago, Statistics; Bachelor's Degree: London School of Economics (LSE), Statistics with Finance.
Background
- Research Interests: Uncertainty Quantification, Conformal Inference, Deep Learning. Professional Field: Statistics. Brief Introduction: Yanfei Zhou is a final-year Ph.D. Candidate in Statistics at the Department of Data Sciences and Operations (DSO) of the University of Southern California (USC), Marshall School of Business, expected to graduate in May 2026. Her research focuses on uncertainty quantification for machine learning and deep learning model predictions, particularly through conformal prediction, which improves the model training process and addresses issues such as fairness and data privacy.
Miscellany
- On the industry job market looking for Research Scientist, Applied Scientist, Data Scientist, or Quant Researcher positions starting in May 2026.
