Xiang Ge Luo
Xiang Ge Luo
Student / Programme Doctorate at D-BSSE
ETH Zürich
Professur f. Computational Biology
Additional information
Research area
My research interest is concerned with mathematical and computational tools applied to the area of cancer evolution. In particular, I am developing probabilistic models of tumor progression for single-cell sequencing data. I completed my Bachelor's degree in mathematics at the University of Waterloo in Canada. Before joining the computational biology group in 2020 as a PhD student, I studied Statistics (M.Sc.) at the ETH Zürich, during which I developed my interest in probabilistic graphical models, including Bayesian networks, and their applications to biology in general.
Additional information
Publications:
- Bayesian inference of fitness landscapes via tree-structured branching processes (2025)
Xiang Ge Luo, Jack Kuipers, Kevin Rupp, Koichi Takahashi and Niko Beerenwinkel
ISMB/ECCB 2025
Bioinformatics, in press
bioRxiv:2025.01.24.634649
- Joint inference of exclusivity patterns and recurrent trajectories from tumor mutation trees (2023)
Xiang Ge Luo, Jack Kuipers and Niko Beerenwinkel
RECOMB 2022
Nature Communications 14 3676
Abstract bioRxiv:2021.11.04.467347
- Learning Bayesian networks from ordinal data (2021)
Xiang Ge Luo, Giusi Moffa and Jack Kuipers
Journal of Machine Learning Research 22 1–44
Abstract arXiv:2010.15808