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Nick Whiteley holds the Heilbronn Chair in Data Science at the University of Bristol, where he specializes in Statistical Science. He completed his undergraduate studies at the University of Oxford and earned his PhD from the University of Cambridge. His research interests encompass a wide range of topics in statistical inference, including high-dimensional dynamic stochastic systems and non-linear filtering theory. He is recognized for his contributions to convex optimization, probabilistic modeling, and Bayesian techniques, particularly with applications in hidden Markov models and time series analysis. Whiteley is also affiliated with the Alan Turing Institute as a Faculty Fellow, where he engages in data science research with focused themes in statistical modeling and computational statistics. His active involvement in various research projects has led to significant advancements in dynamic Bayesian networks and sequential Monte Carlo methods. He is a recipient of the M. Barry Carlton Award, highlighting his influence and recognition in the field of statistics.
University of Bristol • Bristol, England
Leading research in data science and statistical modeling.
Department of Physics research themes include Astrophysics, Materials and Devices, Particle Physics, and Quantum and Soft Matter.