PhD, RN, FEANS, FIAHSI
PhD, MS, RN, FAMIA
Dr. Pruinelli is an Associate Professor in the College of Nursing with a joint appointment with the College of Medicine, University of Florida, Gainesville, FL. At the UF, she is part of the UFHealth AI – a multi-college network of investigators harnessing AI to benefit science and health in exciting new ways. Outside the UF, she is affiliated with the Institute for Health Informatics and the School of Nursing, University of Minnesota, MN. She is a Fellow of the American Medical Informatics Association. With more than 10 years of clinical experience in both multi-transplant organ coordination and information systems development and implementation, she is part of a new generation of nursing informaticians focused on applied clinical informatics. Her expertise is on applying innovative nursing informatics tools and cutting-edge data science methods to investigate the trajectory of complex disease conditions suitable for clinical implementations. Her work aims to use data to identify the problems and targeted interventions for better patient outcomes.
Dr. Pruinelli grew up in Brazil, moved to the USA in 2012, and brings an international and diverse perspective to her everyday work and life. She earned a PhD degree from the University of Minnesota School of Nursing in 2016, and a Master of Sciences (2008), a Teaching Degree in Nursing (2002) and a Bachelor’s of Nursing Sciences (2000) degrees from the Federal University of Rio Grande do Sul, Porto Alegre, Brazil. She is the co-chair of the Nursing Knowledge Big Data Science Initiative, co-chair for the Data Science and Clinical Analytics workgroup, and an advisor board member for the International Medical Informatics Association – Student and Emerging Professional interest group. Previously, she served as the co-chair for the Midwest Nursing Research Society Nursing Informatics workgroup. She is the co-editor of the 4-books series Nursing and Informatics for the 21st Century - Embracing a Digital World 3rd Edition. She has delivered several keynotes, talks, and lectures on AI and Data Science across the world and has published in several journals in the field. For full details of her scholarship, visit her homepage.
Dr. Michalowski earned his Ph.D. in Computer Science from the University of Southern California, where he solved automated reasoning problems. In 2018 he was elected Senior Member of the Association for the Advancement of Artificial Intelligence (AAAI) and in 2021 he was named to the Fellows of the American Medical Informatics Association (FAMIA). He authored and co-authored over 75 peer-reviewed articles on a range of AI-related topics and served on the program committees for various informatics and computer science conferences including AAAI, AMIA, IJCAI, ACMGIS, ICAPS, and ISWC. Dr. Michalowski is the organizing chair of the International Workshop on Health Intelligence (W3PHIAI) that is held at the AAAI annual conference. He was co-chair of the 2020 and 2022 International Conference on Artificial Intelligence in Medicine (AIME) and he serves on the AIME society board. He also serves as the Co-Director for the University of Minnesota Center for Nursing Informatics. His research has received funding from the NSF, NIH, DARPA, DoD, and various private foundations. His work has resulted in two patents and several startup companies.
Maxim (Max) Topaz
PhD, RN, MA, FAAN
In the past, Dr. Topaz was involved with health policy (national and international levels), leadership (e.g. Chair of the Emerging Professionals Working Group of the International Medical Informatics Association) and health entrepreneurship. Dr. Topaz's clinical experience is in internal and urgent medicine. He earned his PhD degree as a Fulbright Fellow at the University of Pennsylvania and his Masters and Bachelors degrees from the University of Haifa, Israel. He completed a postdoctoral fellowship at the Harvard Medical School and Brigham Women's Hospital. He served as a Senior Lecturer at the School of Nursing, University of Haifa (Israel) where he was heading a Health Information Technology Lab. He published more than 100 articles on topics related to health informatics and received numerous prestigious awards for his work.