题    目：Personalizing Cancer Therapy by Modeling the Evolutionary Dynamics of the Tumor Immune Microenvironment

主讲人：张清鹏   副教授

单    位：香港大学

时    间：6 月8日  10:00

地    点：学院二楼会议室

摘    要：In this talk, we present our research on using mathematical modeling and machine learning to characterize the evolutionary dynamics of the tumor immune microenvironment (TIME) for personalized cancer therapy. We developed various ODE-based TIME models, integrating genomic and transcriptomic data. These models, enhanced by deep reinforcement learning (DRL), optimize therapy regimens, including intermittent androgen deprivation therapy (IADT) for prostate cancer and personalized schedules for immune checkpoint inhibitors (ICIs) and chemotherapy. Our findings demonstrate the potential of these approaches to improve patient outcomes by tailoring treatments to individual tumor dynamics.

简    介：张清鹏博士是香港大学数据科学研究院和药理及药剂学系副教授。他2009 年毕业于华中科技大学自动化系，2012 年获美国亚利桑那大学系统与工业工程博士学位，随后在伦斯勒理工学院计算机科学系从事博士后研究。他长期从事医学信息学、复杂网络与数据科学交叉研究，围绕传染病防控、精准医学和健康行为数据挖掘等课题方向。相关工作发表于 Nature Human Behaviour、Nature Communications、PNAS、JNCCN等期刊；相关成果被华盛顿邮报、纽约时报、CNN、泰晤士报等国际媒体广泛报道。