BioDr. Martin Michalowski is an Assistant Professor in the Population Health and Systems Cooperative Unit in the School of Nursing at the University of Minnesota. Dr. Michalowski's domain of expertise is Artificial Intelligence (AI) with research interests spanning several AI areas of particular importance to medical informatics including data integration, data modeling, machine learning, clinical decision support, and knowledge representation. Automated reasoning, including constraint-based approaches, data analytics using spatio-temporal analysis methods, planning and scheduling, and Bayesian-based machine learning for game playing, rounds out his research background.
His research philosophy in the area of medical informatics is centered on interdisciplinarity and brings advanced AI methods and approaches to clinical decision support, including the mitigation of computerized clinical practice guidelines for complex patients, and personalized medicine. Methodologically, Dr. Michalowski uses automated reasoning to provide clinicians with decision support at the point of care. He also applies problem modeling techniques to capture knowledge required for improving treatment decisions and uses big data analytics to support personalized medicine. He is also involved in the development of mobile educational tools for educators and students where he uses integrated automated reasoning, knowledge representation using ontologies, and human factors design.
Dr. Michalowski is a member of the Association for the Advancement of Artificial Intelligence (AAAI) where he was awarded Senior Member status in 2018. Senior Member status is designed to recognize AAAI members who have achieved significant accomplishments within the field of artificial intelligence. He is also a member of the American Medical Informatics Association (AMIA) and is a program committee member for conferences including AMIA, AIME, and AAAI, among others. Dr. Michalowski serves on various grant review committees and he is co-chair of the International Workshop on Health Intelligence (W3PHIAI). His research has been funded by various government agencies including the NIH, DARPA, and the NSF, has been published in over 55 manuscripts across computer science and health informatics venues, has resulted in the co-founding of several companies, and has led to several issued patents.
Research SummaryResearch Summary/Interests: Clinical Practice Guideline mitigation using AI to develop treatment plans for multi-morbid patients; Shared decision making; Therapy compliance; Personalized medicine
Honors and Recognition
December 31, 2008
December 31, 2008