Learning in the Absence of Training Data

Autorenportrait

Dr. Dalia Chakrabarty has a D.Phil in Astrophysics from the University of Oxford, which she pursued after obtaining an M.S. from the Department of Physics at the Indian Institute of Science. Following her doctoral work, she diversified into developing methodologies for the learning of properties in generic systems, given variously challenging data situations, and making applications of such methods to various real-world problems across disciplines. She works in the Department of Mathematics, at Brunel University London, and her main areas of interest include mathematical foundations of Machine Learning (ML) within a Bayesian paradigm.

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