Overview
Physician-scientist at Harvard Medical School (Division of General Pediatrics, Boston Children's Hospital) and the Computational Statistics and Machine Learning Group, Department of Statistics, University of Oxford (Wellcome Centre for Human Genetics). Research combines epidemiological methods with machine learning to study population health disparities.
Key Contributions / Features
- Lead author of Abdalla et al. (2021), which quantified the asynchrony between individual social distancing behavior and government stay-at-home orders during COVID-19 using Google Mobility data and changepoint detection across 1,124 U.S. counties.
- Demonstrated that prior studies using government dates as social distancing proxies underestimated the intervention's true case-reduction effect by ~45%.
- Applied 10-fold cross-validated elastic net regression to identify socioeconomic status (SES) and racial/ethnic predictors of social distancing delays, connecting behavioral timing to COVID-19 health disparities.
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