John Moriarty

Page contents:

• Research interests
• Current vacancies
• Publications

Research interests

Industrial applied probability: I am interested in applications of probability theory at the interface between mathematical finance and power systems engineering. From 2013 to 2017 I will have an EPSRC Early Career Research Fellowship titled 'Optimal prediction in local electricity markets'. I currently supervise two PhD students, one working between the Schools of Mathematics and Electrical and Electronic Engineering at Manchester on risk in future power systems, and one sponsored by Alectrona Grid Services Ltd. I recently completed knowledge transfer and consultancy projects with the National Grid, IBM and Electricity North West.

High-dimensional and dependent data: I am interested in the interface between statistics and evolutionary biology, in particular evolutionary inference for function-valued data.

Current vacancies

PhD: I am constantly looking for good PhD students in both applied probability and statistics.
Internships: Please note - the summer 2013 internship position has now been filled I regularly offer internships in applied probability and statistics. These are short, focused projects, typically involving scientific programming and with a well-defined outcome, and can be offered at undergraduate, Masters and PhD level.
Please do not hesitate to get in touch if you are interested!

Publications

Links to published articles are provided. Where the article is in press or a subscription is required, a link to a preprint is given.

• P. Z. Hadjipantelis, N. S. Jones, J. Moriarty, D. A. Springate, C. G. Knight. Function-Valued Traits in Evolution.
  Journal of the Royal Society Interface 10: 20121032 (2013).
• B. Haegeman, J. Hamelin, J. Moriarty, P. Neal, J. Dushoff, J. S. Weitz. Robust estimation of microbial diversity in theory and in practice.
  The ISME Journal, in press. Preprint
• N. S. Jones and J. Moriarty. Evolutionary Inference for Function-valued Traits: Gaussian Process Regression on Phylogenies.
  Journal of the Royal Society Interface 10: 20120616 (2013), ArXiv
• J.A.D. Aston, D. Buck, J.Coleman, C.J. Cotter, N.S. Jones, V. Macaulay, N. MacLeod, J. Moriarty, and A. Nevins. Phylogenetic inference for function-valued traits: speech sound evolution.
  Trends in Ecology and Evolution 27:3, 160-166 (2012), Preprint
• G.W. Evatt, P.V. Johnson, P.W. Duck, S.D. Howell and J. Moriarty. The Expected Lifetime of an Extraction Project.
  Proceedings of the Royal Society A 467 (2011), 244-263, MIMS Eprint
• G.W. Evatt, P.V. Johnson, J. Moriarty, P.W. Duck, S.D. Howell, C. Tonkin. The Resource and Optimisation Valuation Model: Real Impact from Real Options. Proceedings of the 35th APCOM Symposium (2011).
  Proceedings of the 35th APCOM Symposium (2011).
• A. B. Dieker and J. Moriarty. Reflected Brownian motion in a wedge: sum-of-exponential stationary densities.
  Electronic Communications in Probability 14:1 (2009).
• Y. Doumerc and J. Moriarty. Exit problems associated with affine reflection groups.
  Probability Theory and Related Fields 145:3 (2009), 351-383, MIMS Eprint
• J. Moriarty and N. O'Connell. On the free energy of a directed polymer in a Brownian environment.
  Markov Processes and Related Fields 13 (2007), 251-266.
• J. Moriarty, J. R. Marchesi and A. Metcalfe. Bounds on the distribution of the number of gaps when circles and lines are covered by fragments: Theory and practical application to genomic and metagenomic projects.
  BMC Bioinformatics 8:70 (2007).

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