2026

Dr. Robert Gillies Machine Learning Workshop in Cancer

Join us Thursday and Friday, October 15 - 16, in the Vincent Stabile Research Building at Moffitt's Magnolia Campus.

The 2026 Dr. Robert Gillies Machine Learning Workshop in Cancer will be held on October. 15 and 16. It will be the fourth annual conference held in memory of notable Moffitt researcher, Dr. Robert Gillies.

The meeting will cover the latest advances in AI/ML and their application in cancer. This year’s work will also host outstanding keynotes and invited speakers in the areas of medical imaging (radiomics), pathology (pathomics), basic science, drug discovery, clinical informatics/operations, natural language processing, generative AI, foundational models, federated learning, as well as ethics and biases, and interpretable and trustworthy AI.

Robert Gillies

Dr. Robert Gillies

Dr. Robert Gillies Machine Learning Workshop in Cancer

October 15-16, 2026 | Tampa, FL

Please register by October 9, 2026

Workshop Themes

The Future of AI in Healthcare and Cancer
Quantitative imaging translation into clinical practice
AI genomics and Bioinformatics
Digital pathology AI in clinical operations
NLP, Language Models, Foundation Models
Ethics, biases and regulations
Causal inference and trustworthiness
Federated Learning

Workshop Agenda

Abstract Submissions

Abstract Submission Deadline:
September 18, 2026

Summaries of new, ongoing, and updated research related to Machine Learning/AI in Cancer will be acceptable for submission and presentation (oral or poster).

An Abstract should address scientific questions, detail Machine Learning/AI use in cancer-related clinical operations or research, and/or contain primary scientific data.

Abstract Submission Information

Location & Travel

Workshop Venue:
Vincent Stabile Research Building at Magnolia Campus
12902 USF Magnolia Drive, Tampa, FL 33612

Accommodations:
1. Embassy Suites by Hilton Tampa USF Near Busch Gardens
2. Home2 Suites by Hilton Tampa USF Near Busch Gardens
3. Hilton Garden Inn Holiday Inn Express

More Travel Information

Keynote Speakers

Ruijiang Li
Stanford University
Associate Professor of Radiation Oncology (Radiation Physics)
Radiation Oncology - Radiation Physics

Veeraraghavan Harini
Memorial Sloan Kettering Cancer Center
Associate Member of Medical Physics

Tina Hernandez-Boussard
Stanford University
Professor of Medicine (Biomedical Informatics), of Biomedical Data Science, of Surgery and, by courtesy, of Epidemiology and Population Health