About the Editors

Editor-In-Chief

Yiye Zhang, PhD
Associate Professor, Department of Population Health Sciences and Emergency Medicine, Cornell Systems Engineering
Weill Cornell Medicine, Cornell University
New York, USA

Yiye Zhang is trained in Information Systems Management and has extensive experience in health systems. Her core research focuses on the development, evaluation, and implementation of clinical decision support systems. Yiye Zhang was named the Walsh McDermott Scholar for her work, which has been funded by multiple US federal agencies.
 

Associate Editors

Haijing Hao, PhD
Associate Professor, Department of Computer Information Systems
Bentley University
Waltham, MA, USA


Haijing's research interests include technology adoption in healthcare, online health communities/online doctor reviews, econometrical modeling, and text mining. She has published in Information Systems Research, Journal of Medical Internet Research (JMIR), International Journal of Medical Informatics, and International Journal of Public Health. Haijing received her Ph.D. in Information Systems Management, Carnegie Mellon University (CMU), 2012.

Robin van Kessel, PhD
Hoffmann Fellow
London School of Economics and Political Science & World Economic Forum
London, UK


Dr van Kessel is the Hoffmann Fellow on Health System Financing and Payment Models at LSE Health and the World Economic Forum. At LSE Health, he co-founded and leads the digital health research unit with a particular focus on the regulation, implementation, and financing of digital health and AI technologies. He holds a PhD in Comparative Health Policy from Maastricht University. His research portfolio mainly focuses on the intersection of digital health, health systems and policy, and health inequalities.

Jing Li, PhD
Associate Professor, Department of Pharmacy - the CHOICE Institute
University of Washington
Seattle, WA, USA


I am a health economist interested in the economic and behavioral mechanisms guiding individual decision-making in health and healthcare, for both providers and patients, and the impact of policies that leverage these mechanisms to improve patient outcomes and healthcare market efficiency. Methodologically, I am interested in innovatively applying advanced experimental and econometric methods to addressing understudied questions in health economics and policy. My content areas of expertise include aging and physician incentives/behavior.

Ron Li, MD
Clinical Associate Professor
Stanford University School of Medicine
USA


Ron Li is a Clinical Associate Professor of Medicine in the Division of Hospital Medicine and Center for Biomedical Informatics Research at Stanford University School of Medicine. As the Medical Informatics Director for Digital Health at Stanford Health Care, he provides medical and informatics direction for the health system's enterprise digital health portfolio, including expanding digital referral networks and virtual care modalities. He is the co-founder and Director for the Stanford Emerging Applications Lab (SEAL), which helps clinicians and staff build ideas into novel digital products that are prototyped and tested for care delivery at Stanford Health Care. Ron's academic interests focus on the "delivery science" of new technological capabilities such as digital and artificial intelligence in healthcare and how to design, implement, and evaluate new tech enabled models of care delivery. He is an attending physician on the inpatient medicine teaching service at Stanford Hospital and is the Associate Program Director for the Stanford Clinical Informatics Fellowship.

Fernando Martin-Sanchez, PhD
Hospital Universitario "La Paz". Servicio Madrileño de Salud.
Madrid, SPAIN



Dr. Fernando Martín-Sánchez is Deputy Manager of Medical Informatics, Digital Strategy and Innovation at the La Paz University Hospital in Madrid since June 2023. He has developed most of his career at the Carlos III Health Institute where he was responsible for Informatics (1993-1998), Director of the Clinical Bioinformatics research group (BIOTIC) (1998-2010) and coordinator of its Digital Health Program (2018-2023). From 2015 to 2017 he was Professor of Health Systems Research at Weill Cornell Medicine (Cornell University) in New York. Prior to this (2011-2015), he was Chair and Professor of Health Informatics at the Faculty of Medicine, University of Melbourne (Australia). He is an elected Fellow of ACMI (American College of Medical Informatics), ACHI (Australasian College of Health Informatics) and IAHSI (International Academy of Health Sciences Informatics). He has published more than 200 scientific articles (h-index 33) and coordinated more than 40 research projects.

Jie Yang, PhD
Brigham and Women's Hospital, Harvard Medical School
Boston, MA, USA



Jie Yang is an assistant professor at BWH, Harvard Medical School, as well as an affiliated faculty at Broad Institute of MIT and Harvard. His research interests are mainly focused on AI in healthcare, especially clinical natural language processing (NLP) and large language models (LLMs). He is a member of Technical Advisory Group of World Health Organization (WHO) Global Clinical Platform. He has developed several popular NLP tools: NCRF++ and YEDDA.
 

Editorial Board Members

 

Jiang Bian, PhD, Indiana University and Regenstrief Institute, Indianapolis, IN, USA
Qingyu Chen, PhD, Yale University, New Haven, CT, USA
Jeffrey Durmer, MD, PhD, Chief Medical Officer, Absolute Rest, CO, USA
Gabriel Escobar, MD, Kaiser Permante, CA, USA
Ellie Enichen, BA, Harvard Medical School, Boston, MA
Beth  Frates, MD, Harvard Medical School, Boston, MA, USA
Zhengxing Huang, PhD, Zhejiang University, Hangzhou, Zhejiang, China
Julia Iyasere, MD, MBA, NewYork-Presbyterian, NY, USA
Yoshimasa Kawazoe, MD, PhD, The University of Tokyo Hospital, Japan
Anjum Khurshid, MD, PhD, Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA
Nan Liu, PhD, Duke-NUS Medical School, National University of Singapore, Singapore
Shauna Overgaard, PhD, Mayo Clinic, Rochester, MN, USA
Rema Padman, PhD, Heinz College of Information Systems & Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA
Daniel Polsky, PhD, Johns Hopkins University, Baltimore, MD, USA
Quan Qi, PhD, Johns Hopkins University, Baltimore, MD, USA
Peter A D Steel, MA, MBBS,MD, NewYork-Presbyterian Hospital, Weill Cornell Medicine, New York, NY, USA
Victoria Tiase, PhD, RN, University of Utah, School of Medicine, Salt Lake City, UT, USA
Luis Vilarin, JD, Esq, Consultant / Advisor, New Jersey
Yixin Wang, PhD, Stanford University, Palo Alto, CA, USA
Gabriel Wardi,MD, MPH,Department of Emergency Medicine, University of California, San Diego, San Diego, CA, USA
Clifford Whitcomb, PhD, Cornell University, NY, USA
Melissa Wong, MD, MSHS, Cedars-Sinai Medical Center, Los Angeles, CA
Jiajie Zhang, PhD, McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA
Rui Zhang, PhD, University of Minnesota, Minneapolis, MN
Shuang Zhou, PhD, Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA

 

Advisory Editors

Liam Messin, PhD, Springer Nature, London, United Kingdom

Liam received his undergraduate degree in biochemistry from the University of Warwick. He then completed his Masters and PhD in interdisciplinary biomedical research at Warwick Medical School. For his PhD he studied the control of microtubule shrinkage under the supervision of Jonathan Millar and Robert Cross. Before starting his editorial career Liam worked for the Naked Scientists radio show, based at the University of Cambridge. He then worked as Senior Editor for eBioMedicine and The Lancet Infectious Diseases before being made Deputy Editor for The Lancet Global Health in 2022.  He joined Nature Medicine as Deputy Editor in 2024 where he handles papers related to global health, public health, and non-communicable diseases. He is based in the London office.
liam.messin@nature.com

Laura Schmid, PhD, Springer Nature, Seoul

Laura joined Nature Communications in June 2024. She received her PhD in computer science/applied mathematics from IST Austria in 2021 before moving to the Korea Advanced Institute of Science and Technology (KAIST) for her postdoctoral research in artificial intelligence. Laura is based in the Seoul office.

E-mail: laura.schmid#nature.com*

 

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