Our research group studies structures and systems related to human diseases, ranging from biomolecular conformations to pathogen evolutionary patterns and transmission networks. We develop interdisciplinary approaches, including mathematical theories, models, computational methods and data analytics tools, to analyze structures and their associated properties, such as biological functions, pathological mechanisms, pathogen evolution and transmission dynamics. We integrate and apply these approaches to address challenges in the life sciences, public health and medicine.
A tree distinguishing polynomial
Discrete Applied Mathematics
2021
This theoretical work introduces a novel polynomial for encoding tree structures. It provides an accurate, efficient and interpretable matrix representation for analyzing trees using modern data analytics tools.
Tree polynomials identify a link between co-transcriptional R-loops and nascent RNA folding
PLOS Computational Biology
2024
R-loops are non-canonical nucleic acid structures linked to cancer and genetic disorders. This work introduces a computational pipeline that predicts R-loop formation sites using tree polynomials.
The potential of genomics for infectious disease forecasting
Nature Microbiology
2022
Advancements in sequencing technology have produced a wealth of pathogen genome data. This work calls for innovative approaches to leverage these data for enhancing research in infectious diseases.
