Research
My expertise lies in the development of bioinformatic methods, statistical models for molecular evolution, efficient algorithms for computational phylogenomics, and high-performance computing techniques in genomics. My recent achievement includes dedicated efforts to new model development in the IQ-TREE software, an efficient maximum-likelihood-based phylogenetic software widely used to estimate evolutionary relationships between species. Recently, I developed a new multi-tree model for the IQ-TREE software, which improves the software’s ability to identify and analyse complex evolutionary relationships.
Biography
Thomas obtained his B.Eng. in Computer Science from the Hong Kong University of Science and Technology, M.Sc. and Ph.D. in Computer Science from the University of Hong Kong.
Teaching
- 2024: Object Oriented Technology, Shandong University, Weihai, China
- 2019 - 2022: Advanced Topics in Quantitative Biology and Bioinformatics
Reviewer
Reviewer for various scientific journals, such as Nature Methods, Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics, PLOS Computational Biology, Journal of Computational Biology, and BMC Bioinformatics.