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Jason Hartford is a fellow at the University of Manchester and a staff research scientist at Valence Labs. He is focused on developing tools that enable scientific discovery from complex, high-dimensional data. His current research interests include causal representation learning, causal inference, active learning, and experimental design. Prior to his current positions, he completed his postdoctoral research under the supervision of Yoshua Bengio at Université de Montréal, following a PhD at the University of British Columbia with Kevin Leyton-Brown. Jason is active in academia, giving talks and inviting PhD students to collaborate on various challenging problems. He has presented his work at various seminars and workshops, highlighting the intersection of machine learning and practical applications in causal learning.
Valence Labs • Manchester
Leading research initiatives focused on developing advanced scientific tools.
University of Manchester • Manchester
Engaged in advanced studies and research in computer science.
Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.