Dr. Jennifer Leeman is a distinguished professor in the School of Nursing at the University of North Carolina at Chapel Hill. She is an implementation scientist with extensive experience applying mixed methods approaches to tailor and test multilevel implementation strategies. In this research, she engages clinical partners in formative research to identify multilevel factors that may influence implementation, and then engages partners in the co-design of implementation strategies. Dr. Leeman has led the implementation interventions in diverse settings, including primary care clinics, departments of public health, Federally Qualified Health Centers, skilled nursing facilities, nurse home visitor programs, and rural emergency departments.

Dr Maxim Topaz, PhD, RN, FAAN, FACMI, FIAHSI, is an internationally recognized leader in healthcare AI and an Associate Professor at Columbia University’s School of Nursing and Data Science Institute. He pioneered large‑scale natural language processing of nursing notes and now directs multimodal AI programs—such as CONCERN‑AI and NurseAssist‑AI—that provide real‑time decision support in home‑care and hospital studies. His research spans text/data mining, automated speech processing, and fairness auditing of healthcare algorithms, resulting in 170+ peer‑reviewed papers and more than $20 million in competitive funding (NIH, PCORI, ANF). A Senior Research Scientist at VNS Health, Dr Topaz advises national policy bodies and startups on safe, equitable AI deployment. Trained at the University of Pennsylvania and Harvard Medical School, he is committed to advancing trustworthy AI that reduces clinician burden and improves patient outcomes.