Lisa Hightow-Weidman, MD

Dr. Lisa B. Hightow‑Weidman is a Distinguished McKenzie Professor, the Associate Dean for Research, and the Director of FSU’s Institute on Digital Health and Innovation. A leading physician‑scientist, she develops scalable digital health interventions to improve access and outcomes and is internationally recognized for her work in HIV prevention and care.

Aokun Chen, PhD

Dr. Chen is an assistant professor in the College of Nursing who integrates artificial intelligence with domain expertise to build trustworthy, explainable health‑care applications. His research uses LLMs and VLMs to analyze clinical narratives and medical images, advancing diagnosis, risk assessment, and decision‑making for geriatric diseases and cancers.

Hongyu Miao, PhD

Dr. Miao's research focuses on developing methods to learn interpretable patterns and mechanisms for population and individual health improvement. His expertise spans clinical trial design, machine learning of neuroimaging and multimodal data, and big healthcare data analysis. Applications include cancer, neural disorders, infectious diseases, and digital health.

Michael Gubanov, PhD

Dr. Gubanov is an assistant professor and a lead PI on a multi-year NSF ($550K) grant and a Casey DeSantis Cancer Innovation Fund ($1.2M) consortium grant with Moffitt Cancer Center to develop new AI for better cancer practices. He earned his PhD from the University of Washington and completed a postdoc at MIT CSAIL. His honors include the Amazon AI AWS Research Award, the Communications of the ACM (CACM) Award, the ACM SIGMOD Research Highlights Award, and the IEEE ICDE Best Paper Award.