《科学大讲堂 第234期》刘斌 院士：机器学习赋能生物材料创新

• 题目: 机器学习赋能生物材料创新
• 主讲人：刘斌 院士 @ 新加坡国立大学
• 时间：2026年4月9日 10:00
• 地点：理学院一楼1142报告厅

主讲人简介

Professor Bin Liu is Tan Chin Tuan Centennial Professor at the National University of Singapore (NUS). Bin graduated with a bachelor’s degree from Nanjing University and a Ph.D. in Chemistry from NUS. She had postdoctoral training at the University of California, Santa Barbara before joining NUS in late 2005. Bin has been well-recognized for her contributions to polymer chemistry and organic nanomaterials for energy and biomedical applications. She is an international member of the US National Academy of Engineering. She served as the Deputy Editor to launch and develop ACS Materials Letters (2019-2024), a flagship materials journal of the American Chemical Society. She is now an associate editor for the Journal of the American Chemical Society.

讲座简介

The recent years have witnessed the fast grow of fluorogens with aggregation-induced emission characteristics (AIEgens) in biomedical research. The weak emission of AIEgens as molecular species and their bright luminescence as nanoscopic aggregates distinguish them from conventional organic luminophores and inorganic nanoparticles, making them wonderful candidates for many high-tech applications. In this talk, we report our recent discovery of AIEgens exhibiting high brightness and efficient reactive oxygen species generation in the aggregate state and further demonstrate their potential in image-guided cancer surgery and therapy. By integrating accurate material performance predictions from first-principles calculations with Bayesian optimization-based active learning, we developed a self-improving discovery system for high-performance photosensitizers, significantly accelerating materials innovation in biomedical research.

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