You're warmly invited to join this lecture and gain in-depth insights into the latest breakthroughs and potential applications in protein structure prediction!

📌 The lecture will approach the topic from the perspectives of statistics and machine learning, featuring real-world examples to explore how to overcome AlphaFold’s limitations in static structure prediction. This session is especially suitable for participants interested in bioinformatics, structural biology, or AI applications.

📅 Lecture Information
▪️ Title: Generate Diverse Protein Conformations through AlphaFold
▪️ Speaker: Samuel Kou (Chair, Department of Statistics, Harvard University)
▪️ Time: July 17, 2025 (Thursday), 12:10–13:30
▪️ Venue: 1st Conference Room, 6F, Frank C. Chen Memorial Building, KMUH
▪️ Registration link: 🔗 https://forms.gle/GogtgR7K2HQJ4d5e9
▪️ Registration deadline: Until July 15, 2025 (Tue.) at 12:00 | online registration only
▪️ Format: Hybrid – On-site (60 participants) & Online (unlimited)
▪️ Organizer: Biomedical Artificial Intelligence Academy of KMU
▪️ Remarks: ☕ Lunch will be provided on-site. We welcome your enthusiastic participation!

※ This event has been approved for KMU faculty growth credit. Faculty must complete check-in/out and a satisfaction survey to receive credit.