Dr. Susannah Rose is an Associate Professor in the Department of Biomedical Informatics and is Core Faculty in the Center for Biomedical Ethics and Society at Vanderbilt University Medical Center (VUMC) and Vanderbilt University (VU). She has a secondary appointment in the Department of Health Policy and is a Faculty Scholar in the Center for Health Services Research. Prior to VUMC/VU, she was a Full Professional Staff (faculty) member at Cleveland Clinic, and she served in many leadership roles, including as the Director of Research for the Center of Bioethics, the Director of Research for Safety, Quality and Patient Experience, and the Associate Chief Experience Officer. She was also an Assistant Professor at Cleveland Clinic’s Lerner College of Medicine and in the Department of Bioethics at Case Western Reserve University. Dr. Rose is also an Instructor at Harvard University’s T.H. Chan School of Public Health, where she teaches public health ethics, including artificial intelligence ethics.

Dr. Rose earned her Ph.D. from Harvard University's Health Policy Program (with a concentration in Ethics) in 2010. Dr. Rose was a National Institute of Mental Health (NIMH) pre-doctoral research fellow; a Harvard Edmond J. Safra Center for Ethics Graduate Fellow; a Safra post-doctoral lab fellow; and she was also a pre- and post-doctoral fellow at Massachusetts General Hospital, sponsored by the National Cancer Institute (NCI) through the Program in Cancer Research Outcomes Training (PCORT). Prior to her doctoral studies, she earned an MS in Bioethics from Union College/Albany Medical Center in 2006, and a MS in Social Work from Columbia University in 1998. Dr. Rose was a clinical social worker and researcher at Memorial Sloan-Kettering Cancer Center in New York City.

During her career, Dr. Rose has received multiple mentorship and teaching awards. She has published two books focused on helping patients and family members cope with cancer, and she has published and presented in academic venues on topics related to technology diffusion in healthcare, conflicts of interest in medicine, health policy ethics, and bioethics. Her publications have appeared in high-ranked peer-reviewed journals, such as: JAMA Internal Medicine, Journal of General Internal Medicine (JGIM), The Journal of Clinical Oncology (JCO), The New England Journal of Medicine (NEJM), PLOS One, American Journal of Bioethics (AJOB), and The Hastings Center Report, and her book chapters on health policy ethics and end of life care have been published by the Oxford University Press. She frequently presents at peer-reviewed national and international conferences, and is invited to speak at conferences all over the world, including the United States, Sweden, Germany and the Kingdom of Saudi Arabia.

Her current research focuses upon the ethics and impact of medical technology innovations, including artificial intelligence in healthcare, improving patient experience, and developing data-driven approaches to improve patient care. Dr. Rose’s research has been generously funded by multiple funding sources, including the National Institutes of Health (NIH), Harvard University’s Edmond J. Safra Center for Ethics, NIH’s Clinical & Translational Science Collaborative (CTSC) at Cleveland Clinic & Case Western Reserve University, and The Greenwall Foundation, in addition to internal Cleveland Clinic funding sources.

Dr. Mohammed Al-Garadi is a Research Assistant Professor in the Department of Biomedical Informatics at Vanderbilt University Medical Center. He previously worked as a Postdoctoral Researcher at Emory University, focusing on natural language processing (NLP), machine learning (ML), deep learning and large language models (LLMs) for healthcare applications. His research focuses on extracting insights from unstructured healthcare data, particularly unstructured notes, using NLP and machine learning techniques. By developing modules and pipelines, he has created systems to efficiently process diverse healthcare data streams. He worked on NIH and CDC grants involving the application of NLP and machine learning to analyze large-scale clinical narratives and public health data. 

To date, Dr. Al-Garadi has authored and co-authored over 50 papers in high-impact scientific journals. Currently, Dr. Al-Garadi is exploring the potential of NLP, ML, and LLMs on unstructured EHR clinical notes for various healthcare applications. These include extracting, predicting, and detecting causes of death, postoperative infections, COPD exacerbations, kidney disease, peripheral artery disease, and tele-dermatology conditions and outcomes. He is working on projects supported by the NIH, Department of Veterans Affairs, and FDA.

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Peter Embí, MD, MS, serves as Professor and Chair of the Department of Biomedical Informatics (DBMI), Professor of Medicine, and Senior Vice President for Research and Innovation at Vanderbilt University Medical Center (VUMC), roles he began on Jan. 1, 2022. 

As an internationally recognized researcher, educator and leader in the field of biomedical informatics, Dr. Embí is a frequently invited presenter and lecturer and has authored more than 160 peer-reviewed research articles, abstracts, books and book chapters. His areas of interest include clinical informatics, research informatics, public health informatics, and data-driven learning health systems. He had held research grants from such agencies as the National Institutes of Health’s National Center for Advancing Translational Sciences, National Library of Medicine, National Institute for Drug Abuse and the Agency for Healthcare Research and Quality, as well as numerous nonprofit foundations and public health agencies. 

He earned a Bachelor of Science from the University of Florida, Gainesville, and his medical degree from the University of South Florida in Tampa. He completed residency, chief residency, an informatics fellowship and a Master of Science in Medical Informatics & Clinical Epidemiology at Oregon Health & Science University. He then completed his rheumatology and immunology fellowship training at the Cleveland Clinic before joining the faculty at the University of Cincinnati College of Medicine.

Prior to his move to VUMC, Dr. Embí served as President and CEO of the Regenstrief Institute, Professor and Associate Dean for Informatics and Health Services Research at the Indiana University School of Medicine, Associate Director at Indiana CTSI and Vice President for Learning Health Systems at IU Health. Previous positions included leadership roles at The Ohio State University, where he was interim chair of the Department of Biomedical Informatics, Associate Dean for Research Informatics for the College of Medicine and served as the nation’s first Chief Research Information Officer at The Ohio State University Wexner Medical Center. Prior to that, he served on the faculty of the University of Cincinnati College of Medicine, where he was the founding director of the UC Center for Health Informatics and director of Informatics for the Cincinnati Center for Clinical and Translational Science and Training. Dr. Embí also has experience in a variety of entrepreneurial activities, including co-inventing and co-founding health IT-based startups, partnering with companies to create and evaluate health care innovations, and developing programs that guide and enable other faculty to translate their discoveries into practice.

In recognition of his contributions to the field, Embí has been elected to Fellowship in the American College of Physicians (FACP), the American College of Medical Informatics (FACMI), the American Medical Informatics Association (FAMIA) and the International Academy of Health Sciences Informatics (FIAHSI). He has also served in numerous national leadership roles, including as the immediate past president and chair of the Board of Directors of the American Medical Informatics Association. He also has served on many national advisory boards, including service on the Board of Scientific Counselors to the National Library of Medicine and on the National Advisory Council for the Agency for Healthcare Research and Quality (AHRQ).

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Siru Liu, PhD, is an Assistant Professor in the Department of Biomedical Informatics at Vanderbilt University Medical Center and Assistant Professor in the Department of Computer Science at Vanderbilt University. Her research interests include: optimizing electronic health record features and functions, with an emphasis on clinical decision support, leveraging machine learning and large language model techniques to improve healthcare quality, and analyzing public perceptions using social and behavioral science. She holds a PhD in Biomedical Informatics from the University of Utah School of Medicine. Dr. Liu received NIH NLM K99/R00 Pathway to Independence Award for her research in optimizing CDS using explainable AI. She is featured as the Postdoc of the Year at Vanderbilt in 2023. She is recognized as a 2022 Google Cloud Research Innovator. She is a fellow in the NCI’s Multilevel Intervention Training Institute, a 2022-23 American Association of University Women International Fellow, and a scholar in the Women in AMIA (WIA) Leadership Program. She developed an explainable machine learning-based clinical decision support tool to predict new onsets of ICU delirium. This project was  a finalist in the 2022 AMIA Artificial Intelligence Evaluation Showcase. She serves as a member of the WIA Committee and the Diversity, Equity, and Inclusion (DEI) Committee in AMIA. She also served in the Scientific Program Committee at AMIA 2023 Annual Symposium and as an Area Chair in the Women in Machine Learning Workshop at NeurIPS.

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