Artificial Intelligence

Since 2021, UF has hired more than 100 new faculty to increase education and research in AI. UF’s College of Public Health and Health Professions is home to nine of them.

Sai Zhang, Ph.D., is an assistant professor in the Department of Epidemiology. My research is focused on developing advanced AI and machine learning algorithms to decipher complex human diseases by analyzing massive biomedical data, such as genetics, multi-omics and clinical data. The exciting part of my work is…

Muxuan Liang, Ph.D., is an assistant professor in the Department of Biostatistics. My work focuses on developing statistical and machine learning methods to realize data-driven personalized/individualized decision-making. The exciting part about this is that by efficiently using data, we can accelerate scientific discoveries and improve personalized diagnoses and…

Noah Hammarlund, Ph.D., is an assistant professor in the Department of Health Services Research, Management and Policy. My research uses artificial intelligence and quantitative methods to improve health care decision-making and outcomes. A key area of interest is integrating social and contextual factors into predictive models so that…

Li Chen, Ph.D., is an associate professor in the Department of Biostatistics My work focuses on developing novel deep learning and statistical methods for analyzing large-scale multi-omics data, including but not limited to spatial omics, single-cell genomics, epigenomics and transcriptomics data with particular focus on Alzheimer’s disease and cancer…

Takis Benos, Ph.D., is a William Bushnell Presidential Chaired professor in the Department of Epidemiology. My group develops novel AI methods to analyze multi-modal genomic, clinical and imaging data to investigate disease molecular mechanisms, define disease subtypes and identify effectors of disease onset and progression. Since coming to UF,…

Aprinda I. Queen, Ph.D., is an assistant professor in the Department of Clinical and Health Psychology. My work focuses on finding effective non-pharmacological interventions to combat cognitive decline in the aging population. I use a multi-modal approach that incorporates computational models, neuroimaging and neuromodulation. This is exciting because…

Zhoumeng Lin, B.Med., Ph.D., is an associate professor in the Department of Environmental and Global Health. Our lab is focused on the development and application of computational toxicology models for environmental chemicals, nanoparticles and drugs in animals and humans. We can develop many types of computational models,…

Joseph Gullett, Ph.D., is an assistant professor in the Department of Clinical and Health Psychology My work focuses on the use of multimodal neuroimaging and neuropsychological performance data to predict response to intervention or disease progression with machine learning tools. The exciting part about this is that…

Aprinda Indahlastari Queen is investigating the effect of transcranial direct current stimulation on working memory.