Overview
I study the meaningful use of Electronic Health Records data. My research interests sit at the intersection of biostatistics, biomedical informatics, machine learning and epidemiology. I collaborate with researchers both locally at Duke as well as nationally. I am interested in speaking with any students, methodologists or collaborators interested in EHR data.
Please find more information at: https://biostat.duke.edu/goldstein-lab
Please find more information at: https://biostat.duke.edu/goldstein-lab
Current Duke Appointments & Affiliations
Professor of Biostatistics & Bioinformatics
·
2023 - Present
Biostatistics & Bioinformatics, Division of Translational Biomedical,
Biostatistics & Bioinformatics
Associate Professor in Pediatrics
·
2020 - Present
Pediatrics, Children's Health Discovery Institute,
Pediatrics
Professor in Population Health Sciences
·
2023 - Present
Population Health Sciences,
Basic Science Departments
Member in the Duke Clinical Research Institute
·
2014 - Present
Duke Clinical Research Institute,
Institutes and Centers
Recent Scholarly Works
Characterizing the Prevalence of Co-Occurring Neurodevelopmental Conditions and Associations With the Timing of Diagnosis in Autism in Medicaid Claims Data.
Journal article Autism Res · September 30, 2026 Autism commonly co-occurs with other neurodevelopmental conditions (NDCs), although diagnostic trajectories of an autism diagnosis relative to other NDCs are not well understood. We sought to examine the prevalence of NDCs within autistic children and how ... Full text Link to item CiteEarly Autonomic Dysfunction After Severe Traumatic Brain Injury: A Brief Report.
Journal article Anesth Analg · September 1, 2026 Full text Link to item CiteMeasuring Depression Severity With Clinical Global Impression-Severity Scale Scores From Clinical Notes Using Large Language Models: Validation Study.
Journal article JMIR Form Res · August 10, 2026 BACKGROUND: Real-world psychiatric care is marked by wide heterogeneity in clinical presentations and outcomes, underscoring the need for systematic approaches to outcome measurement. The Clinical Global Impression-Severity (CGI-S) scale is a brief, clinic ... Full text Link to item CiteRecent Grants
1/3 CTSA UM1 at Duke University
ResearchFaculty Member · Awarded by National Center for Advancing Translational Sciences · 2025 - 2032Duke Ophthalmology Mentored Physician Scientist Program
Inst. Training Prgm or CMEMentor · Awarded by National Institutes of Health · 2026 - 2031Computational Biology and Bioinformatics Training Grant
Inst. Training Prgm or CMEMentor · Awarded by National Institutes of Health · 2026 - 2031View All Grants
Education
University of California, Berkeley ·
2011
Ph.D.