Editorial board
Scientific leadership of Machine Learning: Health will be provided by the Editor-in-Chief and will be supported by an Editorial Board with broad scientific and geographical distribution.
Machine Learning: Health is currently making appointments to the Editorial Board and this page will be updated accordingly in due course. Through the process of Board Member appointment we strive for scientific, gender, geographic, and ethnic diversity, and welcome nominations from the community. For further information please contact our Publishing team: mlhealth@ioppublishing.org
Editor-in-Chief
Jimeng Sun, University of Illinois Urbana-Champaign, USA
Professor Sun’s research focuses on using artificial intelligence (AI) to improve healthcare. This includes deep learning for drug discovery, clinical trial optimization, computational phenotyping, clinical predictive modeling, treatment recommendation, and health monitoring. He has been recognized as one of the Top 100 AI Leaders in Drug Discovery and Advanced Healthcare. Professor Sun has published over 300 papers with over 25,000 citations, and h-index 81. He collaborates with leading hospitals such as MGH, Beth Israel Deaconess, Northwestern, Sutter Health, Vanderbilt, Northwestern, Geisinger, and Emory, as well as the biomedical industry, including IQVIA, Medidata and multiple pharmaceutical companies. Professor Sun earned his B.S. and M.Phil. in computer science at Hong Kong University of Science and Technology, and his Ph.D. in computer science at Carnegie Mellon University.
Executive Editorial Board
Holger Fröhlich, Fraunhofer SCAI, Germany
Development and application of AI/ML models for drug target prioritization, precision medicine, and clinical trials.
Chris Gibbons, Oracle Health, USA
AICDSS, NLP, LLMs, agents, health services research, population health, clinical trials.
Steve Jiang, University of Texas Southwestern Medical Center, USA
Artificial intelligence in medicine.
Eytan Ruppin, National Institute of Health, USA
Precision oncology, data science, AI.
Jenna Wiens, University of Michigan, USA
Healthcare research, informatics.
Editorial Board
Shi-Jie Chen, University of Missouri-Columbia, USA
Bioinformatics, modeling and simulation, therapeutic design.
Edward Choi, KAIST, South Korea
Healthcare, natural language processing.
Shenda Hong, Peking University, China
AI for healthcare, digital health.
Fenglong Ma, Pennsylvania State University, USA
Data mining, machine learning, multimodal learning, predictive modeling, and NLP for health.
Anna Bauer-Mehren, Roche Diagnostics GmbH, Germany
Clinical algorithms, machine learning on RWD, LLMs for healthcare applications.
Aydogan Ozcan, UCLA, USA
Deep learning optics and optical computing, computational imaging and microscopy, bio-sensing and mobile health.
Andreas Schuppert, RWTH Aachen University, Germany
Hybrid modelling, AI in medicine, digital twins for health care, AI in critical care.
Lei Xing, Stanford University, USA
AI medicine, data science, machine learning, medical imaging.
Artur Yakimovich, Machine Learning for Infection and Disease (MLID) group/Center for Advanced Systems Understanding (CASUS), Germany
Cell biology, virology, microscopy, live imaging.