Research Presentation: AI for Biological Sciences and Medical Applications
Date:
Academic job interview presentation covering comprehensive research portfolio in AI for biological sciences and medical applications. Presented major achievements including deep manifold learning for high-dimensional data visualization, foundation models for single-cell analysis, and AI-driven drug discovery platforms. Discussed future research directions including virtual cell construction, interpretable AI for medicine, and multi-modal biological data integration. Outlined collaborative opportunities with clinical and biological research groups, and proposed innovative approaches for translating AI research into clinical practice.