Pramita Bagchi’s research focuses on modelling and analysis of dependent data. Dependence among observed data is a phenomenon that arises naturally in important problems, especially in time series and spatial data.She is specifically interested in large complex objects, e.g. functional time series data or spatial surface data. These have emerged as an important object in recent years with the advancement of technology and availability of high-dimensional and high-resolution data, with numerous applications in climate science, geography, finance etc. She is also interested in nonparametric inference for shape constrained data and semiparametric methodologies.