Events

17 Mar 2025 - 19 Mar 2025

9:00am – 5:45pm

Prince of Wales Hospital, Sha Tin, Hong Kong

Dr. Zigui CHEN Associate Professor, Department of Microbiology, Faculty of Medicine,CUHK

Dr. Dominik HEIDER Professor, Institute for Computer Science, University of Düsseldorf, Germany

Dr. Sishuo WANG Research Assistant Professor, Department of Microbiology, Faculty of Medicine, CUHK

Dr. Zigui CHEN

Dr. Zigui CHEN is a leading researcher in microbial evolution, bioinformatics, and molecular genomics. His work integrates big data analysis, next-generation sequencing (NGS), and multi-omics approaches to study human microbiome, virome, and emerging infectious diseases. His research focuses on how microbial communities interact with human health, including the role of HPV and oral microbiome in cancer, and the genomic evolution of respiratory pathogens like SARS-CoV-2 and influenza.

Dr. Dominik HEIDER

Dr. Dominik HEIDER is an expert in bioinformatics, machine learning, and artificial intelligence (AI) applications in biomedicine. He studied Computer Science at the University of Muenster and completed his PhD in Tumor Biology and Bioinformatics. He has held various academic positions, including at the University of Duisburg-Essen, TUM Campus Straubing, and the University of Marburg.

Dr. Sishuo WANG

Dr. Sishuo WANG specializes in microbial genomics, phylogenetics, and host-microbe interactions. His research focuses on pathogen evolution, phylogenetic analysis, and computational models for studying microbial evolution. He has received multiple prestigious awards.

Application Fee: HKD $200

Course Fee: HKD $2500

Application Deadline: 3 March 2025

Address: 1/F, Lui Che Woo Clinical Sciences Building, Prince of Wales Hospital, Shatin, New Territories, Hong Kong

Phone: (852) 3505 3333

Email: microbiology@cuhk.edu.hk

Website: Visit our website

The Bioinformatics Course on Microbial Genomics and Applied Artificial Intelligence 2025 is a specialized training program designed for researchers, clinicians, and students interested in the intersection of microbial genomics, next-generation sequencing (NGS), and artificial intelligence (AI) applications in biomedical research. This intensive three-day course will provide both theoretical knowledge and hands-on training in bioinformatics tools, microbiome analysis, molecular evolution, and AI-driven approaches in microbiology.

Day 1: Monday, 17 March 2025

• Principle of Next-Generation Sequencing (NGS) and Bioinformatics in Microbiome Study
  Introduction to NGS technology and its applications in microbiome research.
• Human Microbiome Shotgun Metagenomics
  Exploration of metagenomic sequencing techniques for analyzing microbial communities.
• Principle of Applied Artificial Intelligence (AI) in Biomedicine
  Fundamentals of AI and its role in biomedical research.
• AI in Antimicrobial Resistance and Infectious Disease Control
  Application of AI in combating antimicrobial resistance and managing infectious diseases.

Day 2: Tuesday, 18 March 2025

• Computer Practice 1: AI Modelling
  Hands-on session on AI-based data modeling in microbiology.
• Principle of Molecular Evolution and Phylogeny in Microbiome Study
  Understanding evolutionary relationships in microbial genomics.
• Unsupervised Learning in Microbiology Research
  Exploring machine learning techniques for microbiological data analysis.

Day 3: Wednesday, 19 March 2025

• Human Microbiota 16S Amplicon Sequencing and Statistical Learning
  Analysis of 16S rRNA sequencing data for microbiota profiling.
• Human Virome Transcriptome in Infectious Diseases
  Study of viral transcriptomes and their implications in disease research.
• Computer Practice 2: Microbial Metagenomics and Bioinformatics
  Practical training in metagenomic analysis using bioinformatics tools.
• Computer Practice 3: Molecular Evolution and Phylogeny
  Hands-on session on phylogenetic analysis in microbial genomics.
• Certificate and Workshop Closing Ceremony