Keynote Speakers

Tze-Yun Leong
PhD, FACMI, FIAHSI
Professor of Practice of Computing Science, School of Computing, National University of Singapore
Director of AI Technology, AI Singapore

Tze-Yun LEONG is Professor of Practice of Computer Science at the School of Computing, National University of Singapore. She is also Director of AI Technology at AI Singapore, a national program on Artificial Intelligence. She is an elected Fellow of the American College of Medical Informatics (ACMI) and a founding Fellow of the International Academy of Health Sciences Informatics (IAHSI).

Tze-Yun received her SB, SM, and PhD degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT), USA. Her research interests include decision-theoretic artificial intelligence, cognitive modelling, machine learning, adaptive computing and biomedical and health informatics. She has over 150 international peer-reviewed publications. She has also served on editorial boards and program committees of leading international journals and conferences on artificial intelligence and biomedical informatics.

With both academic background and business experience, Tze-Yun regularly contributes to panels and committees that advise on R&D directions and education in computer science, artificial intelligence and health informatics in Singapore and abroad. She served as Working Committee Member of the Information and Communication Technology and Media Master Plan 2025 in Singapore (2013-2015), Advisory Board Member of the United Nations University Institute for Computing and Society (UNU-CS) (2012-2016), and Vice President overseeing the working groups and special interest groups of the International Medical Informatics Association (IMIA) (2013-2016).


George Hripcsak,
MD, MS
Vivian Beaumont Allen Professor and Chair of Biomedical Informatics
Columbia University, New York, NY
Director of Medical Informatics Services
New York-Presbyterian Hospital/Columbia Campus, New York, NY

George Hripcsak, MD, MS, is Vivian Beaumont Allen Professor and Chair of Columbia University’s Department of Biomedical Informatics and Director of Medical Informatics Services for New York-Presbyterian Hospital/Columbia Campus. He is a board-certified internist with degrees in chemistry, medicine, and biostatistics. Dr. Hripcsak’s research focus is on the clinical information stored in electronic health records and on the development of next-generation health record systems. Using nonlinear time series analysis, machine learning, knowledge engineering, and natural language processing, he is developing the methods necessary to support clinical research and patient safety.
He leads the Observational Health Data Sciences and Informatics (OHDSI) coordinating center; OHDSI is an international network with 200 researchers.
Dr. Hripcsak is a member of the National Academy of Medicine, the American College of Medical Informatics, the International Academy of Health Sciences Informatics, and the New York Academy of Medicine. He has published over 350 papers.


Pr. Jacques Demongeot,
MD, PhD
Emeritus at University Grenoble Alpes, Faculty of Medicine, Laboratory AGEIS

Professor Jacques Demongeot obtained his academic degrees at Grenoble University J. Fourier (now University Grenoble Alpes, UGA): PhD & MD Thesis, Dr. ès Sciences Mathématiques, Agrégation de médecine (Medicine Professorship).
He is presently Emeritus at UGA, Honorary Member at Institut Universitaire de France (IUF) and Foreign Member of the Chilean Academy of Sciences.
He has been appointed to various academic positions: Director of the Laboratories CNRS TIM3 and TIMC-IMAG between 1987 and 2011, Director of the Doctoral School EDISCE (1996-2007), Head of the Missions «Technology for Health» and «Systems Biology & Complexity» at the Ministry of Research and at CNRS (1997-2006). He has been Project Leader of different European projects: Biomed ISCAMI (Integrated System for Computer Aided Medical Interventions), BMH MDMO (Matching of Deformable Medical Objects) and ALFA (America Latina Formacion Academica) IPECA.

He pioneered in different fields like biological modelling (neural and genetic Boolean networks), dynamical systems (attractors theory), image processing, medical informatics (Cristal-Net®, hospital information system), epidemiology and e-health. He is the author of about 400 scientific papers and 16 world patents.


Tze-Yun Leong
Binyam Tilahun
MD, PhD
eHealthLab Ethiopia leader
Assistant Professor of Health Information Systems
Institute of Public Health University of Gondar

Binyam Tilahun MD has a PhD in Medical Informatics from the University of Münster, Germany (2016) and a master’s degree in Public Health with Health Informatics specialization from the University of Gondar (2010).
He is the leader of the eHealthLab Ethiopia, and an Assistant Professor of Health Information Systems, at the Institute of Public Health in the University of Gondar.
He currently leads different global health informatics projects in the area of eHealth, mHealth and Big Health Data and data use with the common aim to identify barriers and facilitators of mHealth projects namely in Africa with funding from major national and international organizations including : World Health Organization(WHO), Bill & Melinda Gates Foundation (BMGF), European Union, Ethiopian Ministry of Health, Doris Duke Charitable Foundation, Grand Challenges Ethiopia .
He is currently leading Capacity Building and Mentorship Project(CBMP)- a three-year collaborative project with Federal Ministry of Health to provide capacity building and mentorship in the implementation of information revolution agenda in Amhara and Benshangul Gumuz regions with a vision of improving clinical services and health system strengthening through low-cost, scalable digital health solutions in remote settings of Ethiopia.
He worked in Health information systems in three continents for the last 12 years and with his colleagues, developed the first bachelors level training program in East Africa in 2012.


Jean-Marc BOUREZ,
Directeur Général EIT Health France
Investment committee member TTO Lutech
EIF – EIT Health European Venture Center of Excellence Leader

After studying medicine in Lille and marketing in a business school in Paris, Jean Marc Bourez has experienced different positions in pharma industry since 1992, Commercial Operations,  Medical Affairs, Strategic Marketing, Business Excellence, Business Development Strategy and Open Innovation. Former head of eHealth & Open Innovation process at Sanofi, he has been appointed as CEO of EIT Health France, a Knowledge Innovation Community supported by European Institute of Technology, a body of the European Union. In this position, Jean-marc is leading a collaborative project with the European Investment Fund to develop a pan-European Platform of co-investment in Life sciences. Jean-Marc is also Chairman and co-founder of a MedTech Company founded in 2017.

The European perspective
The European Union is currently working to encourage more effective use of information and communications technology, in particular for delivery of health services, including disease prevention and health promotion, and has various initiatives and strategies in place. The European Commission has allocated €2 billions under the Horizon 2020 program for research and innovation in Big Data under the call ‘Personalising Health and Care’ and has since April 2018 a supportive policy for digital transformation of health and care with a strong focus on Big Data.

The role of EIT Health
In recognition of the considerable challenges across Europe but also the immense opportunities in this sector, ‘The use of existing Big Data to improve healthcare’ was selected as a topic for the EIT Health Think Tank for 2018. The task was to evaluate the current position in Europe, identify barriers, recommend strategies to overcome them, and propose actionable projects and activities to make the best use of Big Data at a regional and European level for the benefit of citizens. 3 axes have been prioritized to develop concrete achievements: 1. Identifying and harnessing the benefits of available data, 2. Building capacities/capabilities to realize benefits, 3. Community engagement and participation


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