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HKU IDS Seminar:

Pathology and Integrative Genomics for Precision Medicine Research

Host:

Co-host:

Speaker

Prof Kun HUANG 

Chair, Department of Biostatistics & Health Data Science

Chair, Department of Biostatistics, School of Public Health

Precision Health Initiative Professor of Genomics Data Sciences

Professor of Biostatistics & Health Data Science

Professor of Medicine

School of Medicine, Indiana University

Date

May 14, 2025 (Wed)

Time

9:30am – 10:30am

Venue

IDS Seminar Room, P603, Graduate House   |   Zoom 

Mode

Hybrid. Seats for on-site participants are limited. A confirmation email will be sent to participants who have successfully registered.

Abstract

Computational pathology is an emerging research area straddling artificial intelligence, computer vision, and biomedical imaging. It has been boosted in recent years by the wide adoption of deep learning technologies. Besides its applications in disease diagnosis and prognosis, computational pathology is a powerful phenotyping tool for quantitatively measuring cellular and tissue morphology in disease tissues such as cancer biopsy samples. The extracted quantitative morphological features can be integrated with omics data to generate new biological hypothesis regarding disease development and new integrative markers predicting clinical outcomes for patients. In this talk, I will give any overview of our work in computational pathology over the past twenty years and recently developed machine learning methods for integrating multi-modal data with applications in multiple cancers and Alzheimer’s disease for predicting biomarkers, clinical outcomes, and drug targets.

Speaker

Prof Kun HUANG

Chair, Department of Biostatistics & Health Data Science
Chair, Department of Biostatistics, School of Public Health
Precision Health Initiative Professor of Genomics Data Sciences
Professor of Biostatistics & Health Data Science
Professor of Medicine
School of Medicine, Indiana University

Professor Kun Huang received his BS degrees in Biological Science and Computer Science from Tsinghua University in 1996 and his MS degrees in Physiology, Electrical Engineering, and Mathematics all from University of Illinois at Urbana-Champaign (UIUC). He then received his PhD in Electrical and Computer Engineering from UIUC in 2004 with a focus on computer vision and machine learning. He was a faculty member in the Department of Biomedical Informatics at The Ohio State University (OSU) from 2004 to 2017 where he served as the Associate Dean for Genome Informatics in the College of Medicine. He joined Indiana University School of Medicine as Director for Data Science and Informatics of the Precision Health Initiative in 2017. Currently he is the IUSM PHI Endowed Chair for Genomic Data Science, Professor and Chair of the Department of Biostatistics and Health Data Science at Indiana University School of Medicine and Fairbanks School of Public Health. He is also the Associate Director for Data Science of the IU Simon Comprehensive Cancer Center and a member of the Regenstrief Institute. His research interests include bioimage informatics, computational pathology, translational bioinformatics, and heath data science. He is an elected Fellow of American Institute of Medical and Biological Engineering (AIMBE) and published more than 250 research papers.

For full biography of Prof. HUANG, please refer to: https://medicine.iu.edu/faculty/38697/huang-kun

Moderator

Prof Yi Ma

Director; Professor, Chair of Artificial Intelligence @ HKU IDS & Department of Computer Science 

Professor Yi Ma is a Chair Professor in the Musketeers Foundation Institute of Data Science (HKU IDS) and Department of Computer Science at the University of Hong Kong. He took up the Directorship of HKU IDS on January 12, 2023. He is also a Professor at the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He has published about 60 journal papers, 120 conference papers, and three textbooks in computer vision, generalized principal component analysis, and high-dimensional data analysis. 

Professor Ma's research interests cover computer vision, high-dimensional data analysis, and intelligent systems. For full biography of Professor Ma, please refer to: https://datascience.hku.hk/people/yi-ma/

For information, please contact:
Email: datascience@hku.hk