Overview
Developing new machine learning methods for multi-modal longitudinal clinical data to support clinical decision-making.
Current Appointments & Affiliations
Assistant Professor of Biostatistics & Bioinformatics
·
2022 - Present
Biostatistics & Bioinformatics, Division of Translational Biomedical,
Biostatistics & Bioinformatics
Assistant Professor in the Department of Electrical and Computer Engineering
·
2025 - Present
Electrical and Computer Engineering,
Pratt School of Engineering
Recent Publications
Discrete Time Neural Network Models to Address Time-Varying Predictor Importance: An Illustration in Predicting Mortality Over Different Time Horizons.
Journal Article IEEE J Biomed Health Inform · January 2026 Clinical predictive models (CPMs) are crucial for forecasting patient outcomes using available electronic health record (EHR) data. Traditional time-to-event (TTE) models, like the Cox proportional hazards model, assume that hazard ratios remain constant o ... Full text Link to item CiteUsing mixture cure models to address algorithmic bias in diagnostic timing: autism as a test case.
Journal Article JAMIA Open · December 2025 OBJECTIVES: To address algorithmic bias in clinical prediction models related to the timing of diagnosis, we evaluated the efficacy of mixture cure models that integrate time-to-event and binary classification frameworks to predict diagnoses. MATERIALS AND ... Full text Link to item CiteMachine Learning Risk Prediction for Treated Retinopathy of Prematurity in Infants.
Journal Article Neonatology · November 18, 2025 INTRODUCTION: Retinopathy of prematurity (ROP) is a leading cause of childhood blindness. However, current screening guidelines may be overly broad, necessitating better models to detect high-risk infants. METHODS: From a multicenter cohort of 103,701 infa ... Full text Link to item CiteRecent Grants
Digital Envirotyping to Develop Understanding of Cigarette smoking and the Environment
ResearchCo Investigator · Awarded by National Institutes of Health · 2025 - 2030Advancing Identification of Circadian Delay in ADHD Youth: Associations with Clinical Heterogeneity and Cognition
ResearchCo Investigator · Awarded by National Institutes of Health · 2025 - 2029Leveraging Artificial Intelligence to Predict Mental Health Risk among Youth Presenting to Rural Primary Care Clinics
ResearchCo-Principal Investigator · Awarded by National Institutes of Health · 2025 - 2029View All Grants
Education, Training & Certifications
University of Virginia ·
2016
Ph.D.
University of Virginia ·
2014
M.D.