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Lecture Chair: Prof. Dr. Fabian Prasser (BIH Professor für Medizininformatik an BIH und Charité, Mitglied des Translation Hub Steering Committee).


Bitte beachten Sie, dass die Lecture in englischer Sprache stattfindet.



Non-identifiable health data solves the data access problem, enabling broader sharing of health data for research and public health purposes. Risk-based methods have historically been used to generate non-identifiable data, and these have worked well but are facing some headwinds. Synthetic data generation (SDG) is being increasingly adopted as another option to address these emerging challenges. This talk will provide an overview of risk-based methods for creating non-identifiable data, highlight some of their limitations, discuss SDG methods, and their applications in practice. Specific emphasis will be placed on assessing data utility, data privacy, and implementation considerations (such as skill requirements, and cost).

About the Speaker

Dr. Khaled El Emam

  • School of Epidemiology and Public Health, University of Ottawa
  • Children’s Hospital of Eastern Ontario Research Institute
  • Electronic Health Information Laboratory, CHEO Research Institute

About the Speaker

Dr. Khaled El Emam is the Canada Research Chair (Tier 1) in Medical AI at the University of Ottawa, where he is a Professor in the School of Epidemiology and Public Health. He is also a Senior Scientist at the Children’s Hospital of Eastern Ontario Research Institute and Director of the multi-disciplinary Electronic Health Information Laboratory, conducting research on privacy enhancing technologies to enable the sharing of health data for secondary purposes, including synthetic data generation and de-identification methods.   

Khaled is co-founder and CEO of Replica Analytics, a company that develops synthetic data generation technology. As an entrepreneur, Khaled founded or co-founded six product and services companies involved with data management and data analytics, with some having successful exits. Prior to his academic roles, he was a Senior Research Officer at the National Research Council of Canada. He also served as the head of the Quantitative Methods Group at the Fraunhofer Institute in Kaiserslautern, Germany.  

In 2003 and 2004, he was ranked as the top systems and software engineering scholar worldwide by the Journal of Systems and Software based on his research on measurement and quality evaluation and improvement. He held the Canada Research Chair in Electronic Health Information at the University of Ottawa from 2005 to 2015. Khaled has a PhD from the Department of Electrical and Electronics Engineering, King’s College, at the University of London, England.


Die BIH Lecture wird online über GoToMeeting veranstaltet. Um an der BIH Lecture teilzunehmen, bitten wir Sie, sich hier anzumelden. Die Registrierung ist geöffnet, bis die maximale Teilnehmer*innen-Zahl erreicht ist.

Login Information



Donnerstag, 26. August 2021
15:00 – 16:00 Uhr


via GoToMeeting
Einen Login-Link bzw. eine Einwahlnummer fürs Telefon sowie den Zugangscode zur BIH Lecture erhalten Sie am Abend vor der Veranstaltung.


Bitte melden Sie sich hier an.
Die Registrierung ist geöffnet, bis die maximale Teilnehmer*innen-Zahl erreicht ist.

AG Khaled El Emam

AG Fabian Prasser

Translation Hub | Digitale Medizin


Tim Ellermann

Referent Medical and Health Data Sciences, Forschungskoordinator

Telefon:+49 30 450 543 040