Roberta Carroll, Ph.D., is a recognized leader in applied artificial intelligence for healthcare and serves as Director of Data Science and Principal Data Scientist at Illuminate. Her work focuses on leveraging large language models (LLMs), transformer- based architectures, and clinical NLP to improve disease surveillance, early detection, and clinical decision support.
Dr. Carroll holds a Ph.D. in Artificial Intelligence, with research focused on domain- specific transformer models for detecting incidental findings in radiology and clinical notes. Her work emphasizes optimizing model recall, reducing false negatives, and aligning AI outputs with real-world clinical workflows. She brings deep expertise in LLMs, transformer architectures, deep learning, and classical machine learning, and leads the translation of specialized research into scalable, production-grade AI systems.
At Illuminate, Dr. Carroll leads initiatives that bridge research and clinical operations, developing AI solutions that support incidental finding detection, rare-event identification, and clinician decision-making across multiple healthcare programs. Her work has directly contributed to identifying patients who may otherwise be missed, enabling earlier intervention and improving patient outcomes.
A strong advocate for responsible and explainable AI, Dr. Carroll emphasizes model transparency, governance, and clinical trust, ensuring that AI systems are auditable, reliable, and designed to support rather than replace clinical judgment. She is also deeply committed to collaboration and mentorship, leading cross-functional teams and guiding others in building high-impact, clinically aligned AI solutions.
Dr. Carroll’s work reflects Illuminate’s mission to transform healthcare through AI by turning data into insight, insight into action, and action into better patient care.
