AI Day for Cancer Research: Speakers & Agenda
Tuesday, Oct. 24 | 10 a.m. - 3 p.m.


Time Speaker
10 a.m. Mattia Prosperi, Ph.D., FAMIA, and Qing Lu, Ph.D. Networking with coffee and UF Health Cancer Center AI Working Group leaders
10:15 a.m. Jonathan D. Licht, M.D., Thomas George, M.D., FACP, and Ji-Hyun Lee, DrPH Welcome and opening remarks
10:30-11:20 a.m. Despina Kontos, Ph.D. Keynote address: Radiomics, radiogenomics and AI: The emerging role of imaging biomarkers in precision cancer care
11:20 a.m.-noon Ruogu Fang, Ph.D. AI approach for imaging data 101
Noon-12:30 p.m. Radiomics & Augmented Intelligence Laboratory (RAIL) Trivia game with ChatGPT
12:30-1:15 p.m. –– Lunch & networking
1:15-1:40 p.m. Andrew Janowczyk, Ph.D. Computational pathology toward precision medicine
1:40-2:05 p.m. Carlos Rinaldi-Ramos, Ph.D. Magnetic particle imaging (MPPI)
2:10-2:35 p.m. Dejana Braithwaite, Ph.D. How accurate are AI chat bots at providing cancer screening advice?
2:35-2:50 p.m. Reza Forghani, M.D., Ph.D. Impactful artificial intelligence tool development and adoption in radiology: Opportunities & challenges
2:50-3 p.m. Dejana Braithwaite, Ph.D. Closing remarks

Keynote speaker

Despina Kontos, Ph.D.
Matthew J. Wilson Professor of Research Radiology II; Associate Vice-Chair for Research, Department of Radiology, University of Pennsylvania

Despina Kontos, Ph.D., is the Matthew J. Wilson Professor of Research Radiology II and Associate Vice-Chair for Research at the Radiology Department of the University of Pennsylvania. Dr. Kontos received her C.Eng. Diploma in Computer Engineering and Informatics from the University of Patras in Greece and her M.Sc. and Ph.D. degrees in Computer Science from Temple University in Philadelphia. She completed her postdoctoral training in radiologic physics and biostatistics at the University of Pennsylvania and additional postgraduate training in cancer molecular biology and therapeutics from Harvard Medical School. 

Dr. Kontos’ research interests lay in the interface of engineering, data science and medical imaging applications. Most of her research to date has focused on leveraging the role of machine learning and AI in investigating the role of imaging as a predictive biomarker for guiding precision cancer screening, prognosis and treatment, while integrating with other emerging multi-omic biomarkers, such as molecular profiling, liquid biopsy and the EHR. She has published more than 100 papers in this field, leading several research studies funded by the NIH/NCI and private foundations.


Carlos Rinaldi-Ramos, Ph.D.

Dean’s Leadership Professor and Chair, Department of Chemical Engineering
Professor, J. Crayton Pruitt Family Department of Biomedical Engineering
Herbert Wertheim College of Engineering
University of Florida

NCI Cancer Center badge