Biomedical Data Science, AI and Medicine (BAM) Workshop
August 31st, 2024
LT-G, HKUST, Hong Kong
Overview
The primary objective of the program is to assemble leading scientists in the fields of computational biology, biomedical data science, and AI-driven medicine research. These experts will be given a platform to showcase their latest breakthroughs and discoveries, with the aim of promoting the dissemination of information to other academic communities and encouraging interdisciplinary communication and collaboration. The event aims to foster collaboration and share insights on integrating technologies in medical research and healthcare. Significant time will be allocated for informal discussions and participant-driven sessions, encouraging networking and the exchange of ideas to initiate new joint research efforts.
Participants
All are welcome. Walk-ins are also acceptable on the day. Registration closed.
Participants will be notified seperately once successfully registered.
- There are no registration fees to participate to this workshop.
Any personal data you provide will be processed in accordance with HKUST privacy policy.
Invited Speakers and Session Chairs
Bonnie Danqing Zhu
Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology
Can Yang
Department of Mathematics, The Hong Kong University of Science and Technology
Heyang Cui
Department of Surgery, The Chinese University of Hong Kong
Jiguang Wang
Division of Life Science, Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology
Joshua Wing Kei Ho
School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong
Maggie Wang
Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong
Mingxuan Cai
Department of Biostatistics, City University of Hong Kong
Qianghu Wang
School of Biomedical Engineering and Informatics, Nanjing Medical University
Quanhua Mu
Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University
Xin Wang
Department of Surgery, The Chinese University of Hong Kong
Yanbing Wang
Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology
Yong Wang
Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences
Yuanhua Huang
School of Biomedical Sciences, Department of Statistics and Actuarial Science, The University of Hong Kong
Programme
Venue: Lecture Theatre G (LT-G), Academic Building, HKUST, Campus Map
| Time | Schedule |
|---|---|
| 09:00 -- 09:05 | Taking Group Photos |
| Session #1 Chairs: Jiguang Wang & Yanbing Wang | |
| 09:05 -- 09:40 | Decoding Individual Glucose Dynamics from Continuous Glucose Monitoring Data Yong Wang, Chinese Academy of Sciences |
| 09:40 -- 10:15 | Improving Vaccine Antigen Design: from Evolution Modelling to Codon Optimization Maggie Wang, The Chinese University of Hong Kong |
| 10:15 -- 10:50 | Strengthen Causal Inference with Genetic Data Can Yang, The Hong Kong University of Science and Technology |
| 10:50 -- 11:05 | Tea Break |
| Session #2 Chairs: Can Yang & Yuanhua Huang | |
| 11:05 -- 11:40 | Cross-population Fine-mapping by Leveraging Genetic Diversity and Accounting for Confounding Bias Mingxuan Cai, City University of Hong Kong |
| 11:40 -- 12:15 | Methods for Cell Lineage Tracing Using Mitochondrial Variants in Single Cell and Spatial Transcriptomic Sequencing Reads Joshua Wing Kei Ho, The Hong Kong University |
| 12:15 -- 13:30 | Lunch (By Invitation Only) |
| 13:30 -- 14:30 | The First Council Meeting of Bioinformatics Society of Hong Kong Special Administrative Region (In preparation) (By Invitation Only) |
| Session #3 Chairs: Quanhua Mu & Heyang Cui | |
| 14:30 -- 15:05 | Tumor Transcriptomics and its Application in Glioma Qianghu Wang, Nanjing Medical University |
| 15:05 -- 15:40 | Decoding Cellular Programs in Temporal and Spatial Omics Data Yuanhua Huang, The University of Hong Kong |
| 15:40 -- 16:15 | Aging Acceleration in Cancers and its Clinical Implications Xin Wang, The Chinese University of Hong Kong |
| 16:15 -- 16:30 | Tea Break |
| Session #4 Chairs: Xin Wang & Jiguang Wang | |
| 16:30 -- 17:05 | Multi-omics Research of Large-scale Samples from High-risk Areas of ESCC in China Heyang Cui, The Chinese University of Hong Kong |
| 17:05 -- 17:40 | Investigating Osteosarcoma Classification and Clonal Evolution through Multi-omics and Single Cell Sequencing Quanhua Mu, The Hong Kong Polytechnic University |
| 17:40 -- 18:15 | Machine-Learning Guided Approach for Designing Adeno-Associated Viral Proteins in Therapeutic Delivery Bonnie Danqing Zhu, The Hong Kong University of Science and Technology |
| 18:15 | Dinner (By Invitation Only) |