Ruogu Fang
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Associate Professor
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About
Ruogu Fang is an Associate Professor at the University of Florida, United States. His research areas include deep learning applications in medicine, neuroimaging, and machine learning techniques for drug discovery and cognitive enhancement. Recent publications highlight his work on foundation models in medicine, emotion selectivity in neural networks, and techniques for unsupervised segmentation in neuroimaging.
Recent Grants
Grant: Close
Collaborative Research: SCH: Trustworthy and Explainable AI for Neurodegenerative Diseases
Open Date: 2021-10-01
Close Date: 2025-09-30
Grant: Close
Mechanisms, response heterogeneity and dosing from MRI-derived electric field models in tDCS augmented cognitive training: a secondary data analysis of the ACT study
Open Date: 2021-06-01
Close Date: 2024-05-31
Grant: Close
III: Small: Modeling Multi-Level Connectivity of Brain Dynamics
Open Date: 2019-10-01
Close Date: 2023-09-30
Grant: Close
CRII: SCH: Characterizing, Modeling and Evaluating Brain Dynamics
Open Date: 2017-06-15
Close Date: 2019-04-30
Grant: Close
CRII: SCH: Characterizing, Modeling and Evaluating Brain Dynamics
Open Date: 2016-05-01
Close Date: 2017-10-31
Positions (1)
Ruogu Fang
University of Florida
The Smart Medical Informatics Learning and Evaluation (SMILE) Lab at the University of Florida is recruiting for fully funded PhD and postdoctoral positions for 2025–2026, with additional opportunities for RA and internship roles. The lab, led by Ruogu Fang , works at the intersection of neuroscience, artificial intelligence, intelligent agents, brain-inspired AI, multimodal learning, affective computing, and cognitive modeling . Research directions highlighted in the post include brain world models , agentic AI / agentic systems , neuroscience × AI , medical AI , generative AI , foundation models , LLMs , and digital twins . The lab also mentions NSF-supported work on brain-inspired AI education and next-generation AI learning platforms. Funding is described as fully funded , supported by new NIH and NSF funding. The post specifically states that multiple fully funded PhD positions and fully funded postdoc positions are open. Remote and summer RA/internship options are also mentioned. Preferred applicants have a background in Computer Science, AI, Electrical Engineering, Statistics, Mathematics, Neuroscience, or Biomedical Engineering . Strong Python and deep learning skills are expected, and experience with PyTorch , LLMs/VLMs , reinforcement learning , or multimodal data is a plus. The lab also values prior publications in top AI venues and strong self-motivation for interdisciplinary research. To apply, email your CV to [email protected] with the subject line format provided in the post. The lab website’s Openings page is also referenced for more details.
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Collaborators (5)
Joseph Gullett
Assistant Professor
University of Florida
Juan E. Gilbert
University of Florida
Jiang Bian
Associate Professor
University of Florida
Ivana Parker
University of Florida
Gustavo Seabra
Research Associate Professor
University of Florida
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