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3+5 PhD student

University of Copenhagen
Universitetsparken 5 (Department of Mathematical Sciences)

2100 Copenhagen

GitHub LinkedIn jl (at) math.ku.dk

About

– Born on 14. August 2002 in Shenzhen, China

I am a 3+5 PhD student at the University of Copenhagen. My research interests lie in statistical learning, interpretable machine learning, and super learning. I obtained a Bachelor’s degree in Mathematics from UCPH in June 2023, with a specialization in statistics, and a strong focus on measure and probability theory.

In addition, I have experience in software engineering and DevOps. I am proficient in Python and have worked with frontend technologies such as React and Vue. I have applied these skills in developing machine learning microservices on the Google Cloud Platform.


Education

Research

, ,
Fast Estimation of Partial Dependence Functions using Trees
arXiv preprint,2024.
We provide a novel and fast method for computing partial dependence funtions for tree-based prediction models such as XGBoost and Random Forests. The implementation has since been integrated in the R-package glex.