William Hsu

William Hsu is a Professor of Radiological Sciences and Bioengineering at the University of California, Los Angeles (UCLA), David Geffen School of Medicine. He leads the Hsu Lab, which focuses on maximizing the utility of multimodal data to detect and treat diseases earlier through computational techniques. His work bridges biomedical informatics, imaging sciences, and artificial intelligence to address critical challenges in cancer screening and diagnosis.

Education:

• PhD in Biomedical Engineering, Medical Imaging Informatics, University of California, Los Angeles (2009)
• BS in Biomedical Engineering, Johns Hopkins University (2004)

Dr. Hsu's research spans biomedical informatics with a focus on imaging informatics, machine learning, lung cancer screening, and multimodal data integration. His work develops computational frameworks that transform complex medical data into actionable clinical knowledge, particularly in cancer detection and diagnosis. His lab pioneers methods for integrating diverse data types including medical images, electronic health records, and genomic information to improve early disease detection and risk stratification.

His recent publications demonstrate a strong trend toward integrating artificial intelligence into clinical workflows, with particular emphasis on breast and lung cancer screening. His research addresses critical challenges in medical AI including algorithm generalizability across diverse populations, robustness to imaging parameter variations, and practical implementation in healthcare settings. He has made significant contributions to medical image harmonization, radiomics, and developing AI systems that provide interpretable results for clinicians.

Scientific Awards:

• Senior Member, IEEE (2020)
• Basic Science Teaching Award, Radiological Sciences, UCLA (2019)

Dr. Hsu serves as principal investigator on multiple major grants from the National Institutes of Health (including NCI and NIBIB), National Science Foundation, Agency for Healthcare Research and Quality, and the V Foundation. He has established himself as a leader in medical AI research, particularly in the areas of cancer screening and medical image informatics. He is actively involved in mentoring students and postdoctoral researchers in the interdisciplinary field of biomedical informatics.

He leads the Hsu Lab at UCLA, which focuses on maximizing the utility of multimodal data to detect and treat cancers earlier. The lab harnesses artificial intelligence and machine learning techniques to integrate and transform multimodal data into actionable knowledge. He is affiliated with several key research centers at UCLA including the Medical & Imaging Informatics group, the Jonsson Comprehensive Cancer Center, and the Institute for Quantitative & Computational Biosciences.