Pramita Bagchi

Pramita Bagchi is an Assistant Professor at the Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University. She holds a Ph.D. in Statistics from University of Michigan and completed postdoctoral research at Ruhr Universitat Bochum, Germany.

• Doctor of Philosophy (Ph.D.) in Statistics - University of Michigan, Ann Arbor (2015)
• Postdoctoral Researcher - Department of Mathematics, Ruhr Universitat Bochum, Germany (2015-2018)
• Master of Statistics - Indian Statistical Institute, Kolkata, India (2010)
• Bachelor of Statistics - Indian Statistical Institute, Kolkata, India (2008)

Her research focuses on developing computationally efficient statistical methodologies for analyzing high-dimensional dependent data, including longitudinal, spatial, and time series observations. Applications span climate science, protein sequencing, medical imaging, and financial data. Methodologically, she explores functional data analysis, shape-constrained inference, asymptotic theory, and non-parametric methods. Current projects include frequency band analysis for functional time series and clinical data analytics for heart failure biomarkers.

Dr. Bagchi has received research grants from the National Science Foundation (2022-2025) and INOVA Hospital (2020-2023). Her work emphasizes modeling data with minimal structural assumptions, addressing computational challenges in high-dimensional contexts.