Prof. Mor Peleg

Short Bio

Mor Peleg is Full Professor of information systems and Founding Director of the University of Haifa’s Data Science Research Center, former Chair of the Data Science BSc program of the University of Haifa, and former Chair of the Department of Information Systems. She is Editor-in-Chief of the Journal of Biomedical Informatics, which focuses on novel biomedical informatics methods.

Mor's BSc and MSc degrees in biology and her PhD in Information Systems -- are from the Technion -- Israel Institute of Technology, and her 4-year postdoc was at Stanford University's Center for Biomedical Informatics Research. 

Mor’s research focuses on clinical guideline-based decision support systems (CDSS) for patients and physicians. She is internationally renowned in the area of CDSS, with a focus on using ontologies to integrate patient data with clinical knowledge. She was the lead developer of the computer-interpretable guideline (CIG) language “GLIF3”. She continued to expand her work in this area to support developers of CIGs in all stages of the CIG life-cycle. These include design patterns for authoring screening CIGs, for handling exceptional cases and adverse events, and for reasoning with drug effects, as well as ontology-mapping and data integration that facilitate knowledge sharing of CIGs.

Mor led the large-scale European project MobiGuide, with over 60 researchers, clinicians and engineers, from 13 different organizations in five countries. The project was in the revolutionary area of patient-centered and personalized CIGs, providing evidence-based personalized decision support to patients via Smartphone applications and support to clinicians via web-based interfaces. The MobiGuide system was successfully evaluated with atrial fibrillation patients in Italy and gestational diabetes patients in Spain and received the 2017 James Chen Annual Award for Best User Modeling and User-adapted Interaction Paper. 

She continues this work as a partner in the Horizon 2020 CAncer PAtients Better Life Experience ( There she uses machine learning methods to personalize triggers for health behavior change, utilizing behavioral theories. The triggers are delivered to patients via their mobile phones. The inputs to the machine learning models include smartwatch sensors, patient reported outcome questionnaires and electronic medical record data.

In recognition of her work she received the New Investigator Award by the American Medical Informatics Association (AMIA) in 2005, and the University of Haifa’s Rector Award for Outstanding Researchers in 2019. Prof. Peleg is an International Fellow of the American College of Medical Informatics and Fellow of the International Academy of Health Sciences Informatics. She has been organizing two yearly international workshop series – Knowledge Representation for Healthcare, from 2009 to date, and Process Support for Healthcare during 2007-2013. She has over 200 publications, over 6780 citations and an H-index of 40.