Speaker: Prof. Jianfeng Feng (冯建峰 教授)

Time: 16:10-17:00, 14 March 2025 (Friday)  (Beijing time)

Venue: T2-202, UIC

Language: Chinese

Abstract

AI and proteomics are recently believed as facing a revolutionary phase and could fundamentally change our understanding of diseases (brain disorders). Using one of the typical mental disorders and AD as examples, we explore the etiology of the disease with genomic, proteomic and other type of omic data and novel AI algorithms. The discoveries subsequently enable us to subtype various diseases and then develop different treatment strategies in TMS and drug therapy. Some further developments aiming to integrate micro-, meso- and macroscopic data results are discussed. Furthermore, equipped with the knowledge we have about the brain, we developed a model of the whole human brain at the neuronal level (digital twin brain, DTB): 86B neurons and 100T synapses(parameters). Examples on applying DTB to medical applications are included. Finally, we developed a mathematical approach termed moment neuronal network to tackle many issues raised in DTB.

About the Speaker

冯建峰，国家高层次引进人才，长江学者，复旦大学浩清教授，现任复旦大学类脑智能科学与技术研究院、大数据学院院长，上海数学中心首席教授，英国华威大学计算机系教授。长期致力于数学、脑科学和计算机科学的交叉融合研究，推动计算脑科学及其应用领域的发展。
主要研究贡献包括：在精神疾病研究方向，提出并在治疗上论证了抑郁症“奖惩环路失衡”神经机制，通过大数据挖掘验证精神分裂的语言起源假说；在计算神经科学方向，发展了全世界首个全脑数字孪生脑模型和矩神经网络数学理论；在人工智能方向，发展了多种新型神经网络结构和算法等。共发表四百多篇学术文章，许多成果以通讯作者发表在Cell, Nature子刊，Science子刊，Lancet子刊，JAMA子刊，IEEE TPAMI和PRL等。中国NIPs第一人，2011年获英国皇家学会沃夫森研究功勋奖（首位华人），2019年作为三十年来的首位华人受邀在剑桥大学做Paykel Lecture年度冠名讲座，2023年获洪堡研究奖。