Lecture time

November 5, 2025 10:00-11:30

Lecture location

Conference Room 310, Building 1, Jinfeng Laboratory

Lecture title: Data Science and AI for Precision Oncology

Introduction to the speaker

Wang Jiguang , head of the Wang Jiguang Digital Health Laboratory of the Department of Life Sciences and the Department of Chemical and Biological Engineering of the Hong Kong University of Science and Technology, and associate professor. He received his PhD from the Institute of Mathematics and Systems Science, Chinese Academy of Sciences in 2011. From 2011 to 2016, he engaged in postdoctoral research at Columbia University. In 2016, he joined HKUST and established the Wang Jiguang Genomics Laboratory, focusing on the application of data science in biology and medicine. Made substantial contributions in the following areas: 1. Characterizing, modeling and predicting cancer evolution from a genomics perspective (Nat Genet 2016 ； Nat Genet 2017 ； Nat Commun 2021) ； 2. MGMT gene fusions (Nat Genet 2016; Nat Commun 2020) and METex14 mutations (Nat Genet 2018; Cell 2018) were discovered in adult gliomas ； 3. Discover the MAP3K3-I441M mutation in cerebral cavernous hemangioma (AJHG 2021), discover new germline mutations in cerebral arteriovenous malformations, and elucidate the EndMT phenomenon (Circ Res 2021) ； 4. Reconstruct the non-coding transcriptome regulated by RNA exosomes (Nature 2014; Cell 2015). He has won the first National Natural Science Foundation of Hong Kong and Macao Outstanding Young Scientist Award, the Research Award for Young Scholars of the School of Engineering of HKUST (2019), the Research Excellence Award of the School of Science of HKUST (2021), the first Zhong Nanshan Youth Science and Technology Innovation Award, and the title of Madame Xialilei’s Titled Associate Professor of Life Sciences (2021).

Lecture summary

Professor Wang Jiguang’s team is committed to data science-driven biomedical cutting-edge research. The lecture will go from decoding the evolutionary rules of cancer, to revealing new pathogenic targets of brain tumors, to exploring the genetic roots of cerebrovascular malformations and the secrets of regulation of non-coding RNA, systematically analyzing the complexity of life and disease mechanisms, and assisting the practice of precision medicine.

Everyone is welcome to actively participate