| Prof Darren Wilkinson | Professor of Statistics |
| Department of Mathematical Sciences | |
| Durham University |
Although my background and particular expertise are both in Bayesian statistical inference, I have a broad range of research interests, cutting across mathematics, statistics, machine learning and AI, probability theory, modelling, computing science, and molecular and systems biology.
Most of my current research interests involve applications of Bayesian statistics to a variety of challenging problems in Molecular biology, Bioinformatics and Systems Biology. I am especially interested in parameter inference for dynamic biological models, and the use of approximate models and (stochastic) model emulators for rendering computationally prohibitive algorithms for "big data" more tractable. I'm also interested in the way that HPC and Cloud computing technology can help, guided by principles of Functional Programming, especially in the context of streaming data modelling. My research blog gives some insight into my current interests.
Bayesian analysis, scalable Bayesian computation, and Bayesian software development; Dynamic and graphical models, and Markov processes; Statistical bioinformatics and stochastic models in computational systems biology; Functional programming, Cloud computing and e-Science technology for computational statistics and big data; Efficient Bayesian algorithms and Bayes linear methods.
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| darrenjw.github.io |