Liz Chen

About

Elizabeth S. Chen, PhD, FACMI, is the Interim Director of the Brown Center for Biomedical Informatics (BCBI) and an Associate Professor of Medical Science and of Health Services, Policy & Practice at Brown University. Her research involves leveraging electronic health data along with health information and communications technology to support biomedical discovery and healthcare delivery. Her specific research interests include clinical documentation, clinical decision support, health information needs, standards and interoperability, natural language processing (NLP), and data mining and machine learning. Within BCBI, Dr. Chen leads the Clinical Informatics Innovation and Implementation (CI3) Laboratory, which aims to innovate the use of Electronic Health Records (EHR) for primary and secondary purposes, implement digital solutions within operational clinical and research systems, and inspire the next generation of clinical informaticians. Her current projects focus on using data, technology, and computational approaches to improve mental health and child health through mental health informatics and pediatric informatics. As Director of the Advance RI-CTR Biomedical Informatics, Bioinformatics, and Cyberinfrastructure Enhancement (BIBCE) Core, she is involved in initiatives to make EHR and other data accessible and usable for the clinical and translational research community in Rhode Island. Dr. Chen is also Co-Director of the Scholarly Concentration in Biomedical…

Research topics

• Physics
• Chemistry
• Statistical physics
• Condensed matter physics
• Biophysics

Selected publications

• Computing the Dissociation Constant from Molecular Dynamics Simulations with Corrections for the Large Pressure Fluctuations—Aquaglyceroporins Have High Affinity for Their Substrate Glycerol

  Preprints.org · 2025-06-20

  preprintOpen accessSenior author

  In this article, we consider the inevitable large fluctuations of pressure in typical molecular dynamics (MD) simulations of ligand-protein binding problems. In simulations under the constant pressure of one bar, the pressure artifactually fluctuates over the range of bars or more. This artifact can cause gross inaccuracy in the apparent binding affinity computed as the ratio of the probability for the ligand to be bound inside the protein and the probability for the ligand to be outside the pro…

  PublisherOA PDFDOI

Recent grants

• Theoretical study of structure-function correlations of Aquaporin V and mutants

  NIH · $865k · 2008–2017

• NIH Grant S06GM008194

  NIH · $47.3M · 2008

• Quantitatively predictive biology of aquaporins 1, 5, and GlpF

  NIH · $1.4M · 2017–2023

Frequent coauthors

• S. C. Ying

  Providence College

  19 shared

• C. S. Ting

  19 shared

• Huiyun Liang

  The University of Texas Health Science Center at San Antonio

  11 shared

• George Perry

  The University of Texas at San Antonio

  11 shared

• Norman J. M. Horing

  Stevens Institute of Technology

  11 shared

• R. Rodríguez

  General Dynamics (United States)

  10 shared

• Zhao-Bin Su

  China Center of Advanced Science and Technology

  8 shared

• Ruth Chan

  The University of Texas at San Antonio

  7 shared

Labs

• Clinical Informatics Innovation and Implementation (CI3) LaboratoryPI

Education

• PhD

  Institute of Theoretical Physics Chinese Academy of Sciences

  1988

Awards & honors

• American College of Medical Informatics (ACMI) Fellow

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