
Jinyang Liu (刘锦阳)
3+5 PhD student
Universitetsparken 5 (Department of Mathematical Sciences)
2100 Copenhagen
About
– Born on 14. August 2002 in Shenzhen, China
I am currently a 3+5 PhD student in statistics and machine learning at the University of Copenhagen (UCPH). My research focuses on regression, intepretability, and tree-based methods such as gradient boosting and random forests. I hold a Bachelor’s degree in Mathematics from UCPH (June 2023), where I specialized in statistics and developed a strong foundation in measure and probability theory.
In addition, I am an experienced software engineer and have worked extensively with DevOps. I am proficient in Python and R, which I have used to develop microservices on Google Cloud.
I am developing a machine learning library for regression in Rust, focusing on creating an interpretable “glass-box” model as an alternative to traditional black-box methods.
Education
- University of Copenhagen, Sep 2023 - Aug 2028 (expected)
3+5 PhD student in statistics and machine learning
Advisor: Munir Hiabu - University of Copenhagen, Sep 2020 - June 2023
BSc in Mathematics - H.C. Ørsted Gymnasiet i Lyngby, Aug 2017 - June 2020
Danish technical high school education (HTX)
Research

Fast Estimation of Partial Dependence Functions using Trees
Cite Fast Estimation of Partial Dependence Functions using Trees
@misc{liu2024fastestimationpartialdependence,
title={Fast Estimation of Partial Dependence Functions using Trees},
author={Jinyang Liu and Tessa Steensgaard and Marvin N. Wright and Niklas Pfister and Munir Hiabu},
year={2024},
eprint={2410.13448},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/2410.13448},
}