Khaled El Emam, PhD
Canada Research Chair in Medical AI, University of Ottawa; Senior Scientist, Children’s Hospital of Eastern Ontario Research Institute: Professor, School of Epidemiology and Public Health, University of Ottawa (Canada)
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.
Dr El Emam is co-founder and CEO of Replica Analytics, a company that develops synthetic data generation technology. 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. He held the Canada Research Chair in Electronic Health Information at the University of Ottawa from 2005 to 2015.
Bradley Malin, PhD
Accenture Professor of Biomedical Informatics, Biostatistics, and Computer Science; Vice Chair for Research Affairs, Department of Biomedical Informatics: Affiliated Faculty, Center for Biomedical Ethics & Society, Vanderbilt University Medical Center, Nashville, Tennessee (USA)
Bradley Malin's research is funded through various grants from the National Science Foundation (NSF), National Institutes of Health (NIH), and Patient Centered Outcomes Research Institute (PCORI) to construct technologies that enable artificial intelligence and machine learning applications (AI/ML) in the context of real world organizational, political, and health information architectures. To build practical solutions, his work draws upon methodologies in computer science, biomedical science, and public policy to innovate novel computational techniques. He has made specific contributions to a number of health-related areas, including distributed data processing methods for medical record linkage and predictive modeling, intelligent auditing technologies to protect electronic medical records from misuse in the context of primary care, and algorithms to formally anonymize patient information disseminated for secondary research purposes.
Dr Malin co-directs the Health Data Science (HEADS) Center, the Center for Genetic Privacy and Identity in Community Settings (GetPreCiSe), an NIH Center of Excellence on Ethical, Legal, and Social Implications Research, and the Infrastructure Core of the NIH Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD). In addition, he currently serves as the co-chair of the Committee on Access, Privacy, and Security (CAPS) of the All of Us Research Program of the U.S. Precision Medicine Initiative, an appointed member of the Technical Anonymisation Group of the European Medicines Agency, and an appointed member of the Board of Scientific Counselors of the National Center for Health Statistics of the Centers for Disease Control and Prevention.
Editorial Board Members/Section Editors
Alessandro Blasimme, Senior Scientist, Department of Health Sciences and Technology, Swiss Federal Institute of Technology, Zurich (Switzerland)
Janice Branson, Global Head of Advanced Methodology & Data Science, Novartis (Switzerland)
Munmun De Choudhury, Associate Professor, School of Interactive Computing, Georgia Tech (USA)
Hongfang Liu, Professor of Biomedical Informatics, Department of Artificial Intelligence and Informatics, Mayo Clinic (USA)
Gang Luo, Professor, Biomedical Informatics and Medical Education, University of Washington (USA)
Douglas Manuel, Professor, Department of Family Medicine, University of Ottawa and Ottawa Hospital Research Institute (Canada)
Jimeng Sun, Department of Computer Science, University of Illinois Urbana-Champaign (USA)
Danica Xiao, Senior Director, Data Science and Machine Learning, Amplitude (USA)
Join the Editorial Board
The Editorial Board members have options in terms of the degree of their nvolvement. EB members may choose to take on a more active role in screening submissions, assigning peer reviewers and guiding the manuscript through the editorial process or they may choose a more advisory role, engaging in journal strategy, soliciting high impact papers and working on marketing initiatives to raise the profile of the journal.
If you are interested in serving on the editorial board, please read the FAQ article above.
We are always looking for Guest Editors who wish to compile a Theme Issue on a special topic.
This may be particularly interesting for workshop and conference organizers putting together a grant-funded event (eg, with invited experts) on an AI-related topic. JMIR AI can then be used as a dissemination vehicle. (Funding through grants or other sources is usually required and should be budgeted for in grant proposals. Letters of support are available from the JMIR AI editors. Note that granting agencies such as NLM or CIHR usually want to see some sort of knowledge translation activities in workshop proposals, and have in the past funded the JMIR APFs.)
The task of the guest editor(s) is generally
- to solicit manuscripts from colleagues concerning the selected topic,
- to select peer-reviewers for incoming manuscripts,
- to make decisions (together with the editorial board) on article revisions and acceptance, and
- to write an editorial for the theme issue
- to secure funding to sponsor the APFs for published papers (usually in the $10-20k range).
Alternatively, the abstracts of the conference may be published in a supplement, with selected full papers published later in a theme issue or in regular JMIR issues.