PhD (Indian Statistical Institute)
Research Interests: Analysis of Euclidean and non-Euclidean data, Functional data, Extreme values, and Streaming data.
Kaushik Jana received a PhD from the Indian Statistical Institute, Kolkata and continued his research as a postdoctoral researcher at Imperial College London. He is also a visiting researcher at the Alan Turing Institute, the UK’s national institute for data science and AI.
He is a statistician and is interested in data of all kinds. He has a distinct preference for research problems that have direct relevance to practical issues. Some of his research interests are in the analysis of Euclidean and non-Euclidean data, Functional data, Extreme values, and Streaming data.
His research contributions include devising a method of calibrating biased measurements of bifurcated river flow at the Teesta barrage, which might be useful for peaceful settlement of the Indo-Bangladesh dispute over sharing the water of this transboundary river. In another project, he analysed satellite-based rainfall images to come up with a data-driven model for various components of the contour of a region under a spell of monsoon rainfall in Eastern India. Space efficient computation of dependence structure in data streams and development of causal inference on extreme events are among the current projects of his interest.