Dr. Ruogu Fang is an Assistant Professor in the J. Crayton Pruitt Family Department of Biomedical Engineering at University of Florida. Her research spans data, brain and health. She also explores how to make medical imaging higher quality and lower risk for the broad population. Fang’s current research is rooted in the big medical data and brain dynamics understanding. She is the recipient of the single-PI NSF CRII Award, Best Paper Award from IEEE International Conference on Image Processing, Ralph Lowe Junior Faculty Enhancement Award from ORAU, and Robin Sidhu Memorial Young Scientist Award from Society of Brain Mapping and Therapeutics, among the others. Fang’s paper, “Development and validation of the automated imaging differentiation in parkinsonism (AID-P): a multicentre machine learning study”, was featured on the cover of The Lancet Digital Health. 

Fang teaches courses such as “Machine Learning”, “Data Mining” and “Computer Applications to Biomedical Engineering”. She also runs SMILE lab, standing for Smart Medical Informatics Learning and Evaluation, which also reflects for her expectation for every member in the lab to smile while exploring the human brain with big data. 

In addition to her experience listed above, Dr. Fang has mentored 4 University Scholars and their research over the past 3 years.

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