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Research Fellows Directory

Daniel Roy

Professor Daniel Roy

Research Fellow


University of Cambridge

Research summary

My research blends computer science, statistics and probability theory; I study probabilistic programming and develop computational perspectives on fundamental ideas in probability theory and statistics. I am particularly interested in: representation theorems that connect computability, complexity, and probabilistic structures; stochastic processes, the use of recursion to define stochastic processes, and applications to nonparametric Bayesian statistics; and the complexity of probabilistic and statistical inference, especially in the context of probabilistic programming. Ultimately, I am motivated by the long term goal of making lasting contributions to our understanding of complex adaptive systems and especially Artificial Intelligence.

Grants awarded

Probabilistic Programming and Random Data Structures: Theory and Algorithms

Scheme: Newton International Fellowships

Dates: Mar 2011 - Mar 2013

Value: £99,000

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