Biography
I am a Ph.D. student at the Eric CompBio Lab. My current research centers around computational genomics and metabolomics. I am interested in designing biological foundation models based on state-of-the-art deep learning techniques (e.g., large language models) and omics data to address the challenges in genomic and metabolomic applications. Feel free to email me if you are interest with my research topics.
Interests
- Deep learning in Genomics
- Deep learning in Metabolomics
- AI for Science
- Bioinformatics
Education
Ph.D. in Computer Science, student
Hong Kong Baptist University
M.Sc. in Advanced Information Systems, 2021
Hong Kong Baptist University
B.Eng. in Measurement and Control Technology and Instrument, 2017
Beijing Normal University, Zhuhai
Academic Positions
Senior Research Assistant
Hong Kong Baptist University
Research topics: Gene regulatory network reconstruction; Disease risk prediction
Recent Publications
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(2023).
TRAFICA: An Open Chromatin Language Model to Improve Transcription Factor Binding Affinity Prediction.
BioRxiv.
(2022).
A machine learning model for disease risk prediction by integrating genetic and non-genetic factors.
IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2022.
(2022).
dynDeepDRIM: a dynamic deep learning model to infer direct regulatory interactions using time-course single-cell gene expression data.
Briefings in Bioinformatics.
Academic Experiences
External reviewer (BIBM 2024)
Co-reviewer (training in peer review)
External reviewer (BIBM 2023)
External reviewer (ISBRA 2023)
Teaching Experiences
Teaching Assistant
COMP2035 AI and Data Analytics for Health and Social Innovation I
Teaching Assistant
COMP7940 Cloud Computing
Contact
- csyuxu@comp.hkbu.edu.hk
- David C Lam Building (DLB) 625, Waterloo Rd, Kowloon Tong, Hong Kong, CN
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Monday 13:00 to 17:00
Wednesday 13:00 to 17:00