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.

Dr. Xian Mallory is an assistant professor of computer science at FSU, specializing in bioinformatics and AI for complex biological data analysis. Her research develops AI/machine learning methods to understand cancer evolution, heterogeneity, and genomic variation. She is a recipient of an NSF award for using AI in the detection of tumor cells.

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 and the IEEE ICDE Best Paper Award.