SPEAKER DETAILS
Speakers are ordered alphabetically
Deilson Elgui de Oliveira, PhD
Associate Professor, Sao Paulo State University (UNESP), Botucatu School of Medicine
Deilson Elgui de Oliveira, PhD
Associate Professor, Sao Paulo State University (UNESP), Botucatu School of Medicine

Richard Landers, PhD
John P. Campbell Distinguished Professor of Industrial and Organizational Psychology, Columbia University Irving Medical Center
Richard Landers, PhD
John P. Campbell Distinguished Professor of Industrial and Organizational Psychology, Columbia University Irving Medical Center

Kimberly Lomis, MD
Vice President, Medical Education Innovations, American Medical Association
Kimberly Lomis, MD
Vice President, Medical Education Innovations, American Medical Association

Dr. Lomis oversees the AMA’s Precision Education portfolio of projects leveraging data and technology to personalize and enhance medical education across the continuum. Active in considering the impact of AI on medical education, Dr. Lomis leads AMA initiatives, visits institutions nationally and internationally to promote AI education, and serves as a subject matter expert for the US National Academy of Sciences, Engineering and Medicine.
Dr. Lomis previously served as Professor of Surgery and Associate Dean for Undergraduate Medical Education at Vanderbilt University School of Medicine and has held multiple national and international leadership roles in medical education.
Neil Mehta, MBBS, MS
Professor of Medicine, Assoc Dean for Curricular Affairs, Cleveland Clinic Lerner College of Medicine of CWRU SOM
Neil Mehta, MBBS, MS
Professor of Medicine, Assoc Dean for Curricular Affairs, Cleveland Clinic Lerner College of Medicine of CWRU SOM

Professor of Medicine,
Cleveland Clinic Lerner College of Medicine of CWRU SOM
The Jones Day Endowed Chair in Medical Education, Cleveland Clinic
Director, Center for Technology-enhanced Knowledge and Instruction, CC Education
Staff Physician, Department of Internal Medicine and Geriatrics, Primary Care Institute, Cleveland Clinic
(Founding) Co-Course Director at Harvard Macy Institute, Harvard Medical School since 2013
https://orcid.org/0000-0001-8342-4252
Antonio Rusiñol, PhD
Professor, Quillen College of Medicine
Antonio Rusiñol, PhD
Professor, Quillen College of Medicine

Dr. Rusiñol has also contributed extensively through institutional service. He has been a member of the QCOM Admissions Committee since 2008 and has chaired its Diversity Scholarship Subcommittee since 2014. His leadership roles have included serving as Chair of the QCOM Faculty Advisory Council and Chair of the QCOM Diversity and Inclusion Council.
Laurah Turner, PhD
Associate Dean for Artificial Intelligence and Educational Informatics, Associate Professor in the Department of Biostatistics, Health Informatics and Data Science,
University of Cincinnati
Laurah Turner, PhD
Associate Dean for Artificial Intelligence and Educational Informatics, Associate Professor in the Department of Biostatistics, Health Informatics and Data Science,
University of Cincinnati

An interdisciplinary scholar with expertise in artificial intelligence, natural language processing, fuzzy logic, and educational informatics, Dr. Turner leads national and international initiatives to integrate AI responsibly into medical education. Her work focuses on leveraging multi-agent architectures, learning analytics, and adaptive assessment systems to advance precision medical education and reduce disparities in training.
She has secured multiple competitive grants, holds several patents pending on AI-driven educational platforms, and has been invited to contribute to advisory committees for the AAMC, AMA, ABMS, and the International Advisory Committee on AI in Health Professions Education.
Widely recognized as a thought leader, Dr. Turner has delivered invited keynotes, grand rounds, and workshops at leading institutions around the world. Her vision is to democratize access to individualized, mastery-based medical training by harnessing AI to scale feedback, foster equity, and capture the richness of clinical reasoning.

