The Lab
TRAIN-A-BULL is a cross-disciplinary collaborative - physicians, nurses, students, engineers, and information scientists - building the future of AI-augmented healthcare without reinventing the wheel.
Our Mission
TRAIN-A-BULL exists to keep the USF community from reinventing the wheel. We connect physicians, nurses, residents, students, computer scientists, and information specialists around real problems in healthcare AI, and translate that work into care, curricula, and partnerships - because under all of it is a single goal: better patient outcomes.
Why we exist
Healthcare and artificial intelligence are converging fast - and most institutions are duplicating effort, learning the same lessons separately, and missing chances to translate research into care.
TRAIN-A-BULL bridges those gaps at USF. We bring together clinicians, scientists, technologists, and learners in one place - to share what works, validate what's promising, and build what's missing.
We are the connective tissue between disciplines: medicine, nursing, computer science, the College of Engineering, the School of Information, and Health IT. We exist so that any USF student, trainee, or faculty member curious about clinical AI has somewhere to land - and somewhere to contribute.
Faculty
Family Medicine · Clinical Informatics
Family physician, clinical informaticist, and Associate Professor at the USF Morsani College of Medicine. Founding Program Director of the USF/TGH Family Medicine Residency. Board-certified in family medicine and clinical informatics, with a focus on translating AI into primary care education and practice.
Computer Science & Engineering · Smart Health
Assistant Professor in USF's College of Artificial Intelligence, Cybersecurity and Computing, where his lab builds smart-health and mobile-sensing systems that apply machine learning to neurodegenerative disease, traumatic brain injury, and digital phenotyping. His work bridges engineering and clinical care - exactly the translational AI research a clinical informatics collaborative depends on for rigorous model development and validation.
Internal Medicine · Clinical Informatics
Associate Chief Medical Information Officer at Moffitt Cancer Center and Program Director of the ACGME-accredited USF/Moffitt Clinical Informatics Fellowship. Board-certified in Internal Medicine and Clinical Informatics, she trains physician informaticists in EHR optimization, data analytics, and the responsible deployment of AI in clinical care - with national leadership through AMIA on physician AI stewardship.
Health Informatics · USF School of Information
Associate Professor of Instruction and Director of Health Informatics Programs at the USF School of Information, where she co-leads the Health Informatics Lab at the School of Information (HI Lab). Her research spans controlled terminologies, adverse-event detection, and informatics education. A former Navy family physician and AMIA Fellow, she serves on the CAHIIM Board and AMIA Academic Forum - bringing both clinical and data-science credibility to USF's AI + informatics work.
Bios above are temporary placeholders for the launch - final bios will be reviewed and approved by each faculty member. Want to be listed here?
Student Members
Medical students, residents, fellows, graduate students, and undergraduates contributing to TRAIN-A-BULL.
Alumni
Former student members who have graduated, with their current role or next stop.