The following faculty form the supervisory pool for OxWaSP:
Dr Julien Berestycki (Oxford)
Branching processes, branching random walks, coalescence, fragmentation, population genetics, reaction-diffusion equations, front propagation, random trees.
Dr Julia Brettschneider (Warwick)
Statistical methodology for high-dimensional molecular data. Methodology for analysis of high-throughput genomic and proteomic data.
Dr Mingli Chen (Economics)
My research fields are Econometrics, Time Series Econometrics, Financial Econometrics and Industrial Organization.
Dr Theo Damoulas (Warwick)
My research interests are in machine learning and Bayesian statistics with a focus on spatio-temporal problems in urban science and computational sustainability.
Professor Arnaud Doucet (Oxford)
Bayesian statistics; Stochastic Simulation; Sequential Monte Carlo; Markov Chain Monte Carlo; Time Series.
Dr Robin Evans (Oxford)
Graphical models, causal inference, algebraic statistics, latent variable models.
Professor David Firth (Warwick)
Statistical theory and methods, including design and computation. Generalized linear and non-linear models. Applications, especially in the social and health sciences.
Dr Martin Herdegen (Warwick)
Arbitrage theory, change of numéraire, utility maximisation, financial bubbles, transaction costs, equilibria (with and without frictions). Semimartingale calculus, strict local martingales, processes with jumps.
Professor Chris Holmes (Oxford)
Bayesian Statistics. Statistical genetics and genomics. Methods and computation for big data. Nonparametric regression and machine learning methods.
Professor Saul Jacka (Warwick)
Stochastic differential equations. Stochastic control. Applied stochastic processes. Optimal stopping. Applications of probability in finance and economics.
Dr Adam Johansen (Warwick)
Monte Carlo Methods, Computational statistics. Time series. Bayesian inference and decision making.
Dr Jo Kennedy (Warwick)
Financial mathematics. Probability theory. Duality and time-change problems.
Dr Anthony Lee (Warwick)
Monte Carlo Methodology, Computational Statistics, Bayesian Inference.
Dr Jonathan Marchini (Oxford)
Statistical Genetics, Genome-wide Association Studies, Computationally Intensive Statistics, Bayesian Statistics, Image Analysis
Dr Patrick McSharry (Oxford)
Time series modelling, machine learning, signal processing, and systems analysis.
Dr Geoff Nicholls (Oxford)
Bayesian inference, Statistical Methods, Computational Statistics, Monte Carlo, Statistical Genetics, Applied Statistics.
Dr Mike Osborne
Probabilistic numerics. Bayesian inference. Gaussian processes.
Professor Gesine Reinert (Oxford)
Applied Probability, Computational Biology, and Statistics. In particular: Stein’s method and networks.
Professor Gareth Roberts (Warwick)
Stochastic processes, computational statistics, Bayesian statistics and mathematical finance.
Dr Richard Savage (Warwick)
My main research interest is statistical machine learning and its application to important problems in medicine, in particular medical informatics and translational medical research.
Dr Dino Sejdinovic (Oxford)
Statistical machine learning. Kernel methods. Hypothesis testing with big data. Measures of association and multivariate interaction. Trade-offs between computational and statistical efficiency.
Dr Dario Spanò (Warwick)
Mathematical population genetics. Bayesian non-parametric statistics. Combinatorial stochastic processes. Measure-valued processes.
Dr Simon Spencer (Warwick)
Bayesian inference, stochastic processes and applied probability, MCMC methods
Professor Yee Whye Teh (Oxford)
Bayesian statistical methods in science and engineering. Unsupervised learning, computational linguistics and statistical genetics.
Prof David Wild (Warwick)
My research interests are in the field of statistical bioinformatics; in particular in the application of Bayesian statistical machine learning techniques to problems in systems biology, functional genomics and proteomics.
Prof Francois Caron (Oxford)
CDT Academic Advisor
Bayesian nonparametrics, computational statistics, statistical machine learning, networks
Dr David Croydon (Warwick)
Probability theory. Random walks on random graphs. Random fractals.
Professor Charlotte Deane (Oxford)
Protein structure evolution. Protein structure prediction. Analysis of protein-protein interactions.
Professor Alison Etheridge (Oxford)
Infinite dimensional stochastic processes and their applications. Mathematical problems in population genetics.
Professor Bärbel Finkenstädt Rand (Warwick)
Time series analysis and dynamical systems. Periodic time series and oscillations in biological systems. Parameter estimation for (stochastic) differential equations.
Professor Jotun Hein (Oxford)
Sequence Analysis, Genome Annotation and Statistical Alignment. Phylogenies, Pedigrees and Recombination. Integrative Genomics and Data Fusion. Comparative Biology
Dr Vicky Henderson (Warwick)
Optimal stopping and optimal control problems, with applications to real options, executive stock options, and recently, behavioural finance
Professor Jane Hutton (Warwick)
Medical statistics, with special interests in survival analysis, meta-analysis and missing data. Major collaborations in cerebral palsy and epilepsy.
Dr Paul Jenkins (Warwick)
Tractable inference from complex models using computationally-intensive statistical techniques, with particular application to large biological DNA sequence datasets.
Professor Wilfrid Kendall (Warwick)
Stochastic differential equations. Computer algebra in probability and statistics. Applied probability especially in relation to spatial statistics.
Dr Krzystof Latuszynski (Warwick)
Markov chain Monte Carlo, adaptive Monte Carlo, stochastic simulations and Bayesian statistics.
Professor Chenlei Leng
Methodology, theory, computation, and application of big and small data analysis.
Dr James Martin (Oxford)
Probability, interacting particle systems, models of random growth and percolation, processes of coagulation and fragmentation, random graphs.
Dr Simon Myers (Oxford)
Population genetics. Methods to map disease genes in admixed populations, and methods for fine-mapping association signals.
Professor Thomas Nichols (Warwick)
Statistical methods for the analysis of brain image data.
Dr Anastasia Papavasiliou (Warwick)
Applied probability. Stochastic filtering and control. Theory of rough paths. Applications to signal processing. Multiscale systems.
Professor Christian Robert (Warwick)
Bayesian analysis, computational statistics, latent variable models and applied modelling.
Professor Stephen Roberts (Oxford)
Machine learning approaches to data analysis. Bayesian statistics. Signal analysis. Information theory. Applications in astronomy, mathematical biology, finance and sensor networks.
Dr Marco Scutari (Oxford)
Bayesian networks. Machine learning, computational statistics and statistical programming. Application to biology and genetics data.
Professor Jim Smith (Warwick)
High-dimensional environmental modelling. Multi-agent Bayesian decision theory in high dimensional models. High-dimensional business time series. Dynamic Bayes nets.
Dr Chris Spencer (Oxford)
Genetics and genomics. Bioinformatics, SNP typing and Statistical genetics.
Professor Mark Steel (Warwick)
Bayesian statistics and econometrics. Modelling of skewness. Spatial statistics. Model uncertainty. Semi- and nonparametric Bayes.
Professor Mihaela van der Schaar (Oxford)
Machine learning for medicine, education and finance; Statistical machine learning; Data science and decisions; Game theory and Network Science.
Dr Jon Warren (Warwick)
Brownian motion. Local times. Branching processes. Dynamical systems.
Dr Frank Wood (Oxford)
Machine learning. Probabilistic programming. Bayesian nonparametrics. Unsupervised learning. Artificial intelligence.