معرفی
Pramita Bagchi is an Assistant Professor in the Department of Biostatistics & Bioinformatics at The George Washington University (GWU), affiliated with the Milken School of Public Health. She holds a Ph.D. in Statistics from the University of Michigan and completed a postdoctoral fellowship at Ruhr Universitat Bochum in Germany. Her research focuses on developing statistical methodologies for analyzing dependent data, particularly in high-dimensional and functional contexts such as time series, spatial data, and functional observations.
Education:
- Ph.D. in Statistics, University of Michigan, Ann Arbor
- Postdoctoral Research, Department of Mathematics, Ruhr Universitat Bochum
Research Interests:
- Functional Data Analysis
- Spatiotemporal Modeling
- High-Dimensional Data
- Non-Parametric Inference
- Healthcare Applications
- Methodological Development for Biomedical Data
Publications span statistical theory (e.g., functional time series analysis) and applied health research (e.g., heart transplant biomarkers, acculturation effects in immigrant health). Recent work emphasizes methodological innovations for complex data structures, blending theoretical rigor with real-world applications in cardiology and epidemiology.
Grants & Collaborations:
- NSF Grant: "Empirical Frequency Band Analysis for Functional Time Series" (2022–2025)
- INOVA Hospital Grant: "Clinical Data Analytics in Cardiac Transplantation" (2020–2023)
Teaching includes advanced courses like Mathematical Statistics I (STAT 872), reflecting her expertise in statistical theory and methodology.
