Yu-Chun (Daniel) Hsu

Faculty Associate

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Department of Health Data Science and Artificial Intelligence

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Contact

[email protected] | 713-500-3720

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Biosketch

Google Scholar

Yu-Chun (Daniel) Hsu, Ph.D., joined the McWilliams School of Biomedical Informatics at UTHealth Houston as a postdoctoral researcher in June 2021and is now a Faculty Associate specializing in biomedical informatics, neuroscience, and machine learning applications in healthcare. With a robust background in neuroscience, Dr. Hsu’s research expertise spans physiological signal analysis, particularly leveraging electrocardiography (ECG) and photoplethysmography (PPG) data to enhance cardiovascular diagnostics, including early detection of heart conditions and mortality prediction. His interdisciplinary experience, including previous roles as a data scientist at Chang-Gung Memorial Hospital and Chief Technical Officer at Beyond ECG, informs his work developing AI-driven solutions for complex clinical challenges in both cardiology and neurology. His current projects include advanced models for cardiovascular and neurological conditions, such as utilizing neuroimaging and cognitive scores to assess Alzheimer’s disease progression.

• Tell us about your research center and/or what research/work you are currently working on?
  Center for Secure Artificial intelligence For hEalthcare (SAFE)
• What does the future of your research look like?
  Developing advanced, AI-driven models that integrate multi-modal data to enable personalized, predictive healthcare solutions.
• What does the future of informatics look like?
  The future of informatics is delivering precision and personalized healthcare through AI-driven, real-time insights.