Dr. Gilmer Valdes, a leader in the field of Clinical AI and Machine Learning, is CEO and Founder of OncoBrain, which is pioneering initiatives to integrate AI into clinical practice, with a special focus on improving patient outcomes through innovative machine learning applications.

He previously served as Vice Chair of Machine Learning and Director of Clinical AI at Moffitt Cancer Center, leading the translation of ML research into deployed clinical workflows and building a clinician-facing clinical AI platform (BlueScrubs) that informed OncoBrain’s approach—grounded in transparency, safety guardrails, measurable endpoints, and real-world integration.

Dr. Valdes earned a PhD in Medical Physics (UCLA) and completed fellowship + clinical residency training in Therapeutic Medical Physics (University of Pennsylvania), with faculty experience at UCSF and AI research training through an NIH K08 across UCSF–UC Berkeley–Stanford. Early work focused on ML and advanced modeling for quality assurance, outcome prediction, and treatment personalization (notably in prostate and lung cancer), with an emphasis on robust performance under real-world data constraints.

His research has advanced expert-augmented learning and interpretable additive/boosted modeling approaches (e.g., MediBoost, Conditional Super Learner, Representational Gradient Boosting, additive tree families).