Wojtek Michalowski is the MET Research Program leader. He is a Professor of Health Informatics and Decision Support and Vice-dean (Research) at the Telfer School of Management, University of Ottawa, and Adjunct Research Professor at the Sprott School of Business, Carleton University. He is author or co-author of over 150 refereed publications and gave numerous invited talks. Wojtek's research interests in clinical decision support systems and computer-interpretable clinical practice guidelines were the driving forces behind the MET research.
Marc Carrier, MD, MSc, FRCPC, is an Associated Professor in the Faculty of Medicine, Department of Medicine and Senior Scientist in the Clinical Epidemiology Program of The Ottawa Hospital Research Institute. He is also the Director of the Thrombosis Fellowship Program. Marc holds a Tier 2 Research Chair in Venous Thromboembolism and Cancer from the University of Ottawa and a New Investigator Award from the Heart and Stroke Foundation of Canada. His role in the MET group is to provide expertise with regards to the clinical aspects related to mitigating adverse interactions for multimorbid patients and to help in development of different models describing patients’ compliance to therapy.
Pavel Andreev is an Assistant Professor at the Telfer School of Management. Previously he was a Postdoctoral Fellow with the MET Group, Postdoctoral Research Fellow at Sagy Center for Internet Research and the Study of the Information Society, University of Haifa and a Research Fellow at Business Information Systems, University College Cork. Pavel earned his Ph.D. in the Department of Industrial Engineering and Management at Ben-Gurion University of the Negev, Israel. His dissertation focused on the impacts of information and communication technologies (ICT) on personal activities such as teleworking, telemedicine, teleshopping, telelearning, telebanking, and teleleisure. The research, which yielded interesting results pertaining to the effects of ICT on personal activities and travel. Pavel is also interested in the organization of open source projects (including business modeling with implementation of open source technologies), social networks, mobility (modeling and exploring of implementation and adoption of smart phones and associated applications), healthcare information systems (HIS) and quantitative research methods. His role in the MET Group is conceptualizing and modeling of implementation Web 2.0 technologies in management of chronic diseases.
Martin Michalowski received his PhD in Computer Science from the University of Southern California and is a leading expert in automated reasoning. His work improves patient outcomes by applying logic-based approaches to reconcile clinical practice guidelines for multi-morbid patients. He has been the principal investigator on several NIH- and DoD-funded grants applying various automated reasoning techniques to problems of public significance. His research resulted in numerous journal articles, conference publications, invited speaking engagements, issued patents, and spun off startup companies. Dr. Michalowski is the co-founder of two technology-based companies and the technology lead of another. He is a member of the Association for the Advancement of Artificial Intelligence (AAAI) and American Medical Informatics Association (AMIA) and he is the organizing chair of the Expanding the Boundaries of Health Informatics using AI (HIAI) workshop that, for the past 4 iterations, has been held at the AAAI conference (more info).
Enea Parimbelli studied computer engineering at the University of Pavia, Italy. After a short experience in IT consulting he went back to university and completed a Ph.D. in bioengineering in the decision support group of the Biomedical Informatics Lab Mario Stefanelli at the University of Pavia. During his Ph.D. and post-doc Enea contributed to the design and development of the MobiGuide patient guidance system. He was also visiting scholar at the Institute for Biomedical Informatics at the University of Pennsylvania. Enea's main research interest is health informatics and in particular AI in medicine, clinical decision support systems and shared decision making. Enea is currently with the MET Group as a post-doctoral fellow, working on interdisciplinary healthcare team modelling, data mining and patient medication adherence issues.
Malvika Rao obtained her BSc. and MSc. degrees in Computer Science at McGill University and her PhD at the John A. Paulson School of Engineering and Applied Sciences at Harvard University. Her research has involved topics in AI, multi-agent systems, algorithms, and microeconomics. She is currently a postdoctoral fellow with the MET group.
Roman Słowiński is a Professor at the Institute of Computing Science, Poznan University of Technology, Poland and the Director of the Laboratory of Intelligent Decision Support Systems. He is author or co-author of 14 monographs and more than 400 papers on the issues of decision analysis and support. His research interests include methodology and techniques of decision support, multi-criteria decisions analysis, preference modelling, knowledge-based decision support, fuzzy set theory and rough set theory. Professor Słowiński participates in research on data mining methodologies used for building decision models embedded in the MET3 environment, and on applying techniques of multi-criteria decision analysis to clinical decision problems.
Dympna O'Sullivan is a Senior Lecturer at Technological University Dublin, Ireland. Prior to this she worked as is a Senior Lecturer in Data Analytics in National College of Ireland, a Senior Lecturer in Health Informatics at City University, London and as a Lecturer in Computer Science at Aston, UK. After obtaining her PhD in Computer Science at University College Dublin, Ireland, she worked as a post-doctoral fellow with the MET Research Group. Dympna’s research is in the area of clinical decision support systems and evidence-based medicine. In particular she is interested in managing the large volumes of data generated by today’s digital healthcare environments and in developing intelligent software systems to bridge the gaps between clinician’s information needs and the computational resources available to meet them. It involves the application of intelligent systems techniques including artificial intelligence, machine learning, information retrieval and ontological engineering. She is involved in research on multi-agent MET system design, and implementation of the evidence-based agent for point of care support, as well as examining the acceptance of clinical decision support systems among MDs.
Szymon Wilk is an Adjunct Professor at the University of Ottawa and an Assistant Professor in the Laboratory of Intelligent Decision Support Systems at the Poznan University of Technology. His research interests include design and implementation of decision support systems, data analysis and knowledge discovery based on rough set theory and decision support. Szymon has been involved in the MET research program since 1998. He implemented the first generation of the MET environment, worked on the design of MET2, and led development of the MET3 architecture. He is currently involved in developing computer-based models for reconciling clinical practice guidelines for a co-morbid situation.
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