Martin Michalowski, PhD, FAMIA

Dr. Martin Michalowski is a tenured Associate Professor in the Population Health and Systems Cooperative 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 and nurses 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’s research has been funded by various government agencies including the NIH, DARPA, DoD, and the NSF, has been published in over 85 manuscripts across computer science and health informatics venues, has resulted in the co-founding of several companies, and has led to several issued patents. He also serves on the program committees for various informatics and computer science conferences, including AAAI, AMIA, IJCAI, ACMGIS, ICAPS, and ISWC and is a reviewer for a broad range of science journals. He is the organizing chair of the International Workshop on Health Intelligence that for the past eleven iterations has been held at the AAAI conference, in addition to organizing multiple symposia and workshops on artificial intelligence in healthcare. Dr. Michalowski recently served as co-chair of both the 2020 International Conference on Artificial Intelligence in Medicine (AIME 2020) and for AIME 2022. He serves as a panel reviewer for NIH, NSF, Canada Foundation for Innovation (CFI), and several international granting agencies.

Finally, Dr. Michalowski was awarded Senior Member status in the Association for the Advancement of Artificial Intelligence (AAAI) which recognizes AAAI members who have achieved significant accomplishments within the field of artificial intelligence. This is the second highest honor in AAAI, below AAAI Fellow. He was inducted into the Fellows of AMIA (American Medical Informatics Association), class of 2021. He also serves as a board member for the Artificial Intelligence in Medicine (AIME) society.

PhD, University of Southern California
Major: Computer Science

MS, University of Southern California
Major: Computer Science

B. CompE, University of Minnesota
Major: Computer Engineering

• Best Paper Award, 22nd International Conference on Artificial Intelligence in Medicine, 2024
• Fellow, International Academy of Health Sciences Informatics, 2024
• Best Paper Award, 13th Workshop on Knowledge Representation for Health Care, 2023
• Fellow, American Medical Informatics Association, 2020
• AAAI Senior Member Status, Association for the Advancement of Artificial Intelligence, 2018

• American Medical Informatics Association
• Association for the Advancement of Artificial Intelligence

Shaban-Nejad, A., Michalowski, M., & Bianco, S. (Eds.). (2024). AI for health equity and fairness: Leveraging AI to address social determinants of health. Springer International Publishing.

Shaban-Nejad, A., Michalowski, M., & Bianco, S. (Eds.). (2023). Artificial intelligence for personalized medicine: Promoting healthy living and longevity. Springer International Publishing.

Shaban-Nejad, A., Michalowski, M., & Bianco, S. (Eds.). (2023). Multimodal artificial intelligence: Next wave of innovation in healthcare and medicine. Springer International Publishing.

Topaz, M., Peltonen, L. M., Michalowski, M., Stiglic, G., Ronquillo, C., Pruinelli, L., Song, J., O'Connor, S., Miyagawa, S., & Fukahori, H. (2025). The ChatGPT effect: Nursing education and generative artificial intelligence. Journal of Nursing Education, 64(6), e40–e43. https://doi.org/10.3928/01484834-20240126-01 

Austin, R. R., Jantraporn, R., Michalowski, M., & Marquard, J. (2025). Machine learning methods to discover hidden patterns in well-being and resilience for healthy aging. Journal of Nursing Scholarship, 57(1), 72–81. https://doi.org/10.1111/jnu.13025 

Michalowski, M., Topaz, M., & Peltonen, L. M. (2025). An AI-enabled nursing future with no documentation burden: A vision for a new reality. Journal of Advanced Nursing. https://doi.org/10.1111/jan.16911 

Michalowski, M., Wilk, S., Michalowski, W., Rao, M., & Carrier, M. (2024). Provision and evaluation of explanations within an automated planning-based approach to solving the multimorbidity problem. Journal of Biomedical Informatics, 156, 104681. https://doi.org/10.1016/j.jbi.2024.104681

Miley, K., Michalowski, M., Yu, F., Leng, E., McMorris, B. J., & Vinogradov, S. (2022). Predictive models for social functioning in healthy young adults: A machine learning study integrating neuroanatomical, cognitive, and behavioral data. Social neuroscience, 17(5), 414–427. https://doi.org/10.1080/17470919.2022.2132285 

Brown, R. J. L., & Michalowski, M. (2022). Nurses' utilization of information resources for patient care tasks: A survey of critical care nurses in an urban hospital setting. Computers, Informatics, Nursing, 40(10), 691–698. https://doi.org/10.1097/CIN.0000000000000908 

Michalowski, M., Wilk, S., Bauer, J.M., Carrier, M., Viktor, H., Michalowski, W. (2025). CUE-X: A framework for the automatic evaluation of clinical usefulness of explanations for the multimorbidity problem. In R. Bellazzi, J. M. Juarez Herrero, L. Sacchi & B. Zupan (Eds.), Proceedings of the Artificial Intelligence in Medicine Conference (pp. 293-303). Springer. https://doi.org/10.1007/978-3-031-95838-0_29 

Michalowski, M., Wilk, S., Bauer, J. M., Carrier, M., Delluc, A., Le Gal, G., Wang, T., Siegal, D., & Michalowski, W. (2024). Manually-curated versus LLM-generated explanations for complex patient cases: An exploratory study with physicians. In J. Finkelstein, R. Moskovitch, & E. Parimbelli (Eds.), Proceedings of the Artificial Intelligence in Medicine Conference (pp. 313-323). Springer. https://doi.org/10.1007/978-3-031-66535-6_33 

Michalowski, M. “Ethics in AI: Transforming Healthcare Responsibly," Brocher Workshop on Embedding Nursing Expertise in Artificial Intelligence-based Health Technology Development, Geneva, Switzerland. (November 2024). Invited.

Michalowski, M., Wilk S., Bauer J. M., Carrier, M., Delluc. A., Le Gal, G., Wang. T., Siegal, D., & Michalowski, W. “Manually-Curated Versus LLM-Generated Explanations for Complex Patient Cases: An Exploratory Study with Physicians,” Artificial Intelligence in Medicine Annual Conference, Salt Lake City, UT. (July 2024).

Michalowski, M. “Exploring the Ethical Landscape: AI in Research and Beyond,” University of Minnesota Research Ethics Week Panel, Minneapolis, MN. (March 2024). Invited.

Michalowski, M., Chawla, N., & Moskovitch, R. “Introduction to the Special Track on Artificial Intelligence and COVID-19," Association for the Advancement of Artificial Intelligence Annual Conference, Vancouver, BC, Canada. (February 2024). 

Michalowski, M. “Crash Course on Generative Artificial Intelligence in Healthcare,” Mayo Clinic Department of Immunology Retreat, Rochester, MN. (November 2023).

Michalowski, M. “Using AI to Support the Management of a Multimorbid Patient: Challenges and Opportunities," Norfleet Forum for the Advancement of Health, University of Tennessee Health Science Center, Department of Genetics, Genomics and Bioinformatics, Memphis TN. (October 2023). Invited.

Michalowski, M., Wilk, S., Rao, M., Carrier, M., & Michalowski, W. “Explainability in an Automated Planning-Based Approach to Solving the Multimorbidity Problem," Artificial Intelligence in Medicine Annual Conference, Portoroz, Slovenia. (June 2023).

Rao M., Michalowski, M., Wilk, S., Michalowski, W., Coles, A., & Carrier M. “Towards an AI Planning-based Pipeline for the Management of Multimorbid Patients,” Artificial Intelligence in Medicine Annual Conference, Halifax, NS, Canada. (June 2022).

Michalowski, M. “Designing and Evaluating Clinical Design Support for the Management of Multimorbid Patients Using Artificial Intelligence,” Mayo Clinic Artificial Intelligence Interest Group, Virtual. (March 2022). Invited.

Michalowski, M. “Artificial Intelligence and Nursing: The Future is Now," VA Nursing Informatics Continuing Education Series, Virtual. (January 2022). Invited.

Award: Developing Data-Driven Clinical Signatures for People who Experience Hallucinations
Principal Investigator: Pakhomov, Serguei V
Sponsoring Organization: National Institutes of Health
Award Dates: 2024 - 2029

Award: Improving Safety and Access to Immune Effector Cell Therapy with Artificial Intelligence Technology
Principal Investigator: Bachanova, Veronika
Sponsoring Organization: National Institutes of Health, National Cancer Institute
Award Dates: 2024 - 2026

Award: Designing Usable Technologies for Older Adults via Data-Driven Whole-Person User Personas
Principal Investigator: Austin, Robin A
Sponsoring Organization: National Institutes of Health, National Institute on Aging
Award Dates: 2022 - 2024

Award: A Multi-Modal Data Integration Approach to Improve Health Care Management
Principal Investigators: Michalowski, Martin; Pakhomov, Sergey V
Sponsoring Organization: University of Minnesota Informatics Institute
Award Dates: 2022 - 2023

Award: Computerized Assessment of Linguistic Indicators of Lucidity in Alzheimer's Disease Dementia
Principal Investigator: Pakhomov, Sergey V
Sponsoring Organization: National Institutes of Health, National Institute on Aging
Award Dates: 2021 - 2023

Award: AI-DCL: Addressing Sociotechnical Challenges of Conversational Agents and Interventions in the Context of Elderly Care
Principal Investigators: Gini, Maria L; Michalowski, Martin; Pakhomov, Sergey V
Sponsoring Organization: National Science Foundation
Award Dates: 2019 - 2022

Award: Interactive Digital Psychoeducation for Adolescents and Adolescents and Young Adults with Substance Use Disorder
Principal Investigator: Michalowski, Martin
Sponsoring Organization: Andiamo Games, LLC
Award Dates: 2019 - 2021

Award: BrainAware: Interactive Digital Psychoeducation for Adolescents and Young Adults with Substance Use Disorder
Principal Investigator: Michalowski, Martin
Sponsoring Organization: Andiamo Games, LLC
Award Dates: 2018 – 2019

Michalowski, M., Carpenter, T. P., & Nelson, K. S. (2018). Interactive educational tool (United States Patent No. US10002540). United States Patent and Trademark Office.

Michalowski, M., Carpenter, T. P., & Nelson, K. S. (2015). Interactive educational tool (United States Patent No. US9111458). United States Patent and Trademark Office.