The Hsu Lab’s vision is to maximize the utility of multimodal data to detect and treat diseases earlier.
We harness cutting-edge computational techniques to integrate and transform multimodal data into actionable knowledge.
While many of our projects center around cancer screening, we are broadly interested in clinical decisions with high diagnostic uncertainty and benefit from the integration of multiple data modalities.
Learn about who we are and what we do!
William Hsu, PhD
Professor of Radiological Sciences (primary) and Bioengineering (joint)
Medical & Imaging Informatics
David Geffen School of Medicine at UCLA
William Hsu, PhD
Professor of Radiological Sciences (primary) and Bioengineering (joint)
Medical & Imaging Informatics
David Geffen School of Medicine at UCLA
About the Principal Investigator
About the Principal Investigator
William Hsu is a Professor of Radiological Sciences and Bioengineering at the University of California, Los Angeles. He is a biomedical informatician focused on maximizing the utility of multimodal data to detect and treat cancers earlier. His lab harnesses artificial intelligence/machine learning techniques to integrate and transform multimodal data into actionable knowledge. He serves as principal investigator on grants from the National Institutes of Health, the Agency for Healthcare Research and Quality, and the V Foundation. He is affiliated with the Medical & Imaging Informatics group, the Jonsson Comprehensive Cancer Center, the Institute for Quantitative & Computational Biosciences, the Medical Informatics Home Area, and the Bioinformatics Interdepartmental Program. He is a deputy editor of Radiology: Artificial Intelligence and associate editor of the Journal of the American Medical Informatics Association.
William Hsu is a Professor of Radiological Sciences and Bioengineering at the University of California, Los Angeles. He is a biomedical informatician focused on maximizing the utility of multimodal data to detect and treat cancers earlier. His lab harnesses artificial intelligence/machine learning techniques to integrate and transform multimodal data into actionable knowledge. He serves as principal investigator on grants from the National Institutes of Health, the Agency for Healthcare Research and Quality, and the V Foundation. He is affiliated with the Medical & Imaging Informatics group, the Jonsson Comprehensive Cancer Center, the Institute for Quantitative & Computational Biosciences, the Medical Informatics Home Area, and the Bioinformatics Interdepartmental Program. He is a deputy editor of Radiology: Artificial Intelligence and associate editor of the Journal of the American Medical Informatics Association.