Improving Emergency Care Delivery through Cross-Disciplinary Collaboration
Directors
Jeremiah Hinson MD/Phd
Associate Professor of Emergency Medicine
A board-certified and practing emergency physician with a focus on real-world translation, application and evaluation of data-driven decision support, Jeremiah is our clinical lead
Eili KLEIN Phd
Associate Professor of Emergency Medicine
A mathematical ecologist with unique experience and expertise in computational techniques for understanding disease transmission, Eili leads modeling initiatives within the Center
Core Team
Gaby Dashler MPH
Research Associate
Gaby assists with the oversight and day-to-day management of current funded research projects, as well as the development of new research proposals. Gaby coordinates the work of our large multidisciplinary research team
Aly Strauss MD, PhD, MIE
Assistant Professor of Medicine
As a physician trained in transplant hepatology, industrial engineering, and health equity research, Aly harnesses data science and system-level approaches to address health disparities for patients with liver disease
Martin Copenhaver PhD
Assistant Professor of Emergency Medicine
An operations researcher working on capacity management, Martin develops, implements, and evaluates models and tools to improve patient flow in the hospital with a particular focus on quality of care and patient outcomes
Xihan Zhao MS
Sr. Programmer Analyst
A biomedical engineer, Xihan supports research projects by managing databases and developing computational models, contributing to efficient and impactful research outcomes.
Michael Ehmann MD/MPH
Assistant Professor of Emergency Medicine
An emergency physician and educator with expertise in teaching physician trainees to integrate data into their clinical decisions in the ED, Michael ensures that our evidence-based tools are practical for clinicians at all stages of practice development
Akshita Singh MS
Programmer Analyst
A data analytics and IT engineer who supports research efforts through insightful data analysis, develops computational models and operational dashboards, and translates research prototypes into scalable, cloud-based pipelines.
Oluwakemi Badaki-Makun MD
Assistant Professor of Pediatrics
Trained in both pediatrics and emergency medicine, Kemi leads our team's efforts to improve ED-based diagnosis and treatment of children
Chase Yonamine
Sr. Research Program Coodinator
A data analyst interested in infectious disease surveillance and clinical decision support. Assists in developing data driven tools and real time analytics systems that help healthcare teams monitor emerging infectious diseases, improve emergency care, and respond more effectively to public health threats.
COLLABORATING FACULTY
Kamna Balhara MD/MA
Assistant Professor of Emergency Medicine
An emergency physician and educator with expertise in issues around health inequity, bias, and their impact on clinical decision-making, Dr. Balhara leverages her experience in the health humanities to ensure that our clinical decision tools remain patient-centered and equitable
Kimia Ghobadi PhD
Assistant Professor of Computer Science
An industrial engineer with expertise in application of optimization techniques and algorithms to improve healthcare delivery
Diego Martinez Phd
Assistant Professor of Emergency Medicine
An engineer with expertise in statistical and machine learning, network science and optimization modeling, Diego leverages data to support operational and clinicical decision-making
Therese Canares MD/MBA
Assistant Professor of Pediatric Emergency Medicine
Dr. Canares is board-certified in pediatrics and pediatric emergency medicine. Her mission is to improve the health of children through innovation of digital health and technology tools
Ayse Gurses PhD
Professor of Anesthesiology and Critical Care Medicine; Director, Center for Healthcare Human Factors
Ayse is an internationally recognized leader in human factors engineering in healthcare and lends her expertise to numerous CDEM projects
Susan Peterson MD
Assistant Professor of Emergency Medicine
An emergency physician and recognized leader in Quality Improvement research, Susie ensures our tools improve the safety and quality of care delivered in the ED
Sara Cosgrove MD/MS
Professor of Medicine; Medical Director, Johns Hopkins Hospital Department of Antimicrobial Stewardship
Dr. Cosgrove's research focuses on determining approaches to optimize antibiotic use so as to limit antibiotic resistance and improve the safety of patients receiving these agents. She assists the team with implementing and assessing approaches to influence prescribing behavior
Gabe Kelen MD
Professor and Chair of Emergency Medicine
A pioneer and international leader of our specialty, Dr. Kelen is involved in infectious disease and critical care research within the Center
Richard Rothman MD/PhD
Professor and Vice Chair of Emergency Medicine
Dr. Rothman is an international leader in the translation of molecular diagnostics to the practice of emergency medicine. He works with CDEM on multiple projects related to rapid detection of respiratory infections and sepsis
David Newman-Toker MD/PhD
Professor of Neurology
Trained in neurology, clinical research methods, and diagnostic safety/quality, Dr. Newman-Toker brings expertise in diagnostic excellence to our team
Ilya Shputser PhD
Assistant Professor of Computer Science
A computer scientist with interest and expertise in causal inference, missing data, graphical models, algorithmic fairness, statistical inference in semi-parametric models
Students
Chloe Dearman
Master student, Data Science
Chloe is a data science research assistant supporting research projects through statistical modeling, machine learning, and data visualization. She contributes to the team with ad-hoc analyses and plays a key role in applying machine learning techniques to pediatric studies, helping uncover insights that inform clinical care and research.
Olga Kuzmish
Undergraduate student, Applied Math & Stats
Olga is a data science research assistant applying machine learning to support antimicrobial stewardship. She focuses on building predictive models to enhance infection detection and inform more effective, data-driven treatment decisions in healthcare.