Nilabja Guha

Nilabja Guha is a Lecturer in Probability and Statistics at the University of Maryland Baltimore County (UMBC). Her research focuses on Bayesian modeling for complex statistical problems, including high-dimensional datasets, inverse problems, uncertainty quantification, and stochastic approximation methods.

Education

• Master of Statistics, Indian Statistical Institute
• Doctor of Philosophy, University of Maryland Baltimore County

Research Interests

She specializes in probabilistic graphical models, change-point detection, and Bayesian computational methods. Her work addresses challenges in statistical inference for systems with inherent uncertainty and dynamic structures.