Yu Huang, PhD

By leveraging real-world data and AI, health digital twins hold great potential for enhancing outcomes from individuals to entire populations and driving meaningful improvements in healthcare systems.

Initiatives

Research Scientist, Clem McDonald Center for Biomedical Informatics, Regenstrief Institute
Assistant Professor, Indiana University School of Medicine

Dr. Yu Huang is an assistant professor of the Department of Biostatistics and Health Data Science at Indiana University School of Medicine. His research interests center on the development of artificial intelligence (AI) and machine learning (ML) techniques leveraging real-world data (RWD) to generate novel applications for healthcare systems and improve patient health outcomes. His research spans several critical areas: enhancing machine learning and deep learning strategies in healthcare, specializing in disease progression subphenotyping, predicting health outcomes, implementing ethical AI practices through fair machine learning, and developing health digital twins.

In The News

Indianapolis Business Journal mentions Regenstrief Institute with other high profile partners along with Indiana University, Eli Lilly

Influence

Regenstrief researchers give national presentations on public health informatics and aging

People

InfluenceRegenstrief researchers give national presentations on public health informatics and aging

NewsAdaptive ethics roadmap guides responsible AI integration in intensive care

InfluenceRegenstrief research scientists appointed associate directors of IUCAR

NewsRegenstrief experts advance global dialogue on digital health and interoperability at forum in Dubai

NewsRegenstrief researchers join national stage to advance aging and gerontology research

Adaptive ethics roadmap guides responsible AI integration...

Yu Huang, PhD