About

I'm Haimo Fang (方海漠), an incoming PhD student in Statistics and Data Science at the Wharton School, University of Pennsylvania. I received my B.A. in Economics from Fudan University in 2026. My research focuses on statistical inference and uncertainty quantification for ensemble methods, especially gradient boosting and explainable boosting machines. I currently work with Giles Hooker at Wharton Statistics.

Research

Software

  • Boulevard — a research-oriented Python package for scikit-learn-compatible Boulevard / BRAT-style boosting estimators with uncertainty intervals. Install with pip install boulevard-boosting and import as boulevard.
    The first release includes DropoutBooster, ParallelBooster, and ExplainableBooster for regression, with common APIs for confidence, prediction, and reproduction intervals. Repository

Teaching

  • Teaching Assistant, Mathematical Analysis BII
  • Teaching Assistant, Mathematical Analysis BII

Notes & Writeups

ECON130277H Cross-Sectional and Panel Data Analysis (Fudan University, Prof. Ruochen Wu)

I wrote these notes while taking the course, mostly to keep the material in one place and work through the derivations carefully. They are not official course materials and may contain mistakes. Corrections are always welcome.

View Course Notes (PDF)

Miscellaneous

In my spare time, I enjoy songwriting and music production. Here are two of my original works:

© 2026 Haimo Fang