(Including but not limited to the following topics)
Topic One: Artificial Intelligence Machine Learning
Deep Learning
Neural Network
Natural Language Processing
Computer Vision Reinforcement Learning
Federated learning
Feature engineering Knowledge Graph
Transfer learning
Multimodal learning Graph neural network
Intelligent prediction
Pattern recognition
Interpretable AI
Topic 2: Computational Biology Bioinformatics
Genome data analysis
Protein structure prediction
Molecular dynamics simulation
Sequence alignment Systems Biology
Biological network modeling
Gene expression analysis Molecular docking
Epigenetic analysis
Single-cell sequencing analysis
Evolutionary biology computing Metabolomics
Drug molecule design
Biological big data
Topic 3: Data Science
Data mining
Statistical modeling
Big data analysis Data preprocessing
Dimensionality reduction of high-dimensional data
Time series data analysis Data visualization
Distributed data processing
Bayesian analysis
Machine learning algorithms
Data quality assessment Feature selection
Predictive analysis
Semi-supervised learning
Data fusion