Djibril Ba

Djibril Ba, MPH, PhD, is an Assistant Professor in the Department of Public Health Sciences, Division of Epidemiology. His research focuses on epidemiological methods, chronic disease analysis, and public health data science, with active NIH funding for diabetes research.

Research Interests:
Primary domains include meta-analysis of population health data, chronic disease epidemiology, and machine learning applications in public health. Key methodological expertise spans:

• Large-scale health survey analysis (NHANES, MarketScan)
• Statistical modeling of disease predictors
• Retrospective cohort studies
• Systematic evidence synthesis

Grants & Projects:
Currently leads NIH/NIDDK-funded project (2024-2026): Dietary Predictors of New-Onset Diabetes following Acute Pancreatitis in the DREAM Study, investigating nutritional epidemiology and metabolic disorders.

Publication Trends:
Research outputs (87 total) demonstrate strong focus on: 1) Machine learning applications in chronic disease prediction, 2) Long-term impacts of COVID-19, 3) Sleep disorder epidemiology, and 4) Infectious disease co-morbidities. Recent works utilize large datasets including national electronic health records.