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Sourav Sarkar is a member of the Statistical Laboratory at the University of Cambridge, where he engages in a wide array of statistical research. He is known for exploring advanced statistical methodologies and contributing to the broader understanding and application of statistical theory in various fields. He participates actively in workshops and seminars, including the Statistics Clinic, where he collaborates with experts and discusses emerging topics in statistics and its applications. His work often intersects with geometric and neural network methods, particularly in the context of random processes and Bayesian statistics.
University of Cambridge • Cambridge, ENG
Conducting research in statistical methodologies and applications.
Standard postgraduate requirements for Department of Politics and International Studies (POLIS) and related humanities departments.