Dian Hu

Dian Hu, Ph.D., is an Assistant Professor at the Center for TEAM-AI within the UTHealth School of Biomedical Informatics (SBMI). Their primary research focuses on discovering socioeconomic factors behind public health issues using non-traditional data sources and data-driven methodologies. Dian holds a PhD in Systems Engineering from The George Washington University, advised by Dr. David A. Broniatowski.

During the COVID-19 pandemic, Dian served as an ORISE Fellow at the U.S. Food and Drug Administration while completing their Ph.D. Their research emphasizes three core pillars: identifying vulnerable populations and emerging health problems, designing pragmatic health programs, and monitoring these programs through ethical, data-driven evaluation.

Key research areas include public health program evaluation, big data surveillance, systems architecture in health policy, simulation modeling for policy impact, and quasi-experimental designs leveraging social media data.

No specific awards, grants, or advising records are detailed in the provided text. The Center for TEAM-AI likely serves as their primary research hub.