Thomas Reese, PharmD, PhD is a board-certified ambulatory care pharmacist and clinical informatician with a strong commitment to patient-oriented research. He was a fellow in the NCI's Multilevel Intervention Training Institute and trained on the National Library of Medicine T15 grant at the University of Utah. Dr. Reese was motivated by clinical practice to understand how clinicians can make better decisions. In this pursuit, he has focused on enhancing the human-computer interaction through interoperable clinical decision support and has led projects on designing and developing integrated information displays for critical care and shared decision-making tools for drug-drug interactions. He is particularly interested in using health information technology to implement evidence-based practice in contextually and theoretically informed ways. Dr. Reese received a career development award from AHRQ to combine clinical decision support with patient reported outcomes to improve treatment for opioid use disorder.
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 other AMIA committees. 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.
Google Scholar: https://scholar.google.com/citations?user=JKXOENIAAAAJ&hl=en