John Moriarty
Research Visitor
 School of Mathematics,
 University of Manchester
 Oxford Road, Manchester M13 9PL, UK
 j.moriarty [ 'at' symbol ] manchester.ac.uk
Page contents:
 Research interests
 Group members and vacancies
 Industrial collaborations
 Consultancy services
 Current projects
 Publications
 Teaching and Outreach
Research interests
The current focus of our group is the application of probability theory at the interface between mathematical finance and power systems engineering. From 2013 to 2017 I have an EPSRC Early Career Research Fellowship titled Optimal prediction in local electricity markets focusing on the pricing and hedging of risk in electricity demand, for better balancing of future power systems.Group members and vacancies
Current group membersPostdoctoral: Our postdoctoral positions are currently filled.
PhD: Our group generally accepts one new PhD student per year. Please get in touch if you have good Mathematics degrees to Masters or MMath level with a strong component of probability or statistics courses.
Internships: These are short, focused projects, typically involving scientific programming and with a welldefined outcome, and can be offered at undergraduate, Masters and PhD level. Again please do not hesitate to get in touch if you are interested!
Industrial collaborations
Our group is delighted to be algorithm provider to the innovative startup company Upside, with whom we collaborate through PhD student Zehui Jin and postoctoral researcher Jhonny Gonzalez, funded by the Technology Strategy Board and EPSRC. We also provide algorithms to a startup electricity supplier.Consultancy services
We carry out a limited amount of consultancy activity in order to maximise the impact of our work. Our most recent project was the practical application of Real Options Analysis for Electricity North West Ltd.Current projects
To represent our current activity, working titles of current manuscripts are provided with author lists. Links to published preprints are provided. T. De Angelis, G. Ferrari, J. Moriarty and R. Martyr. A free boundary analysis of optimal entry to a singular stochastic control problem without explicit solution. 2014, 31pp. In preparation for submission.
Publications
Peer reviewed journal articles and (peer reviewed conference papers).2016
 J. Gonzalez, J. Moriarty and J. Palczewski. Markov Chain Monte Carlo calibration of a jumpdiffusion electricity spot price model. 2016, 32pp. Submitted.
2015
 J. Moriarty. A geometric answer to an open question of singular control with stopping. 2015, 25pp. Submitted, preprint
 T. De Angelis, G. Ferrari and J. Moriarty. Nash equilibria of threshold type for twoplayer nonzerosum games of stopping. 2015, 23pp. Submitted, preprint
 T. De Angelis, G. Ferrari and J. Moriarty. A Non Convex Singular Stochastic Control Problem and its Related
Optimal Stopping Boundaries.
SIAM Journal on Control and Optimization, 53:3 (2015), 11991223  Y. Kitapbayev, J. Moriarty and P. Mancarella. Stochastic control and real
options valuation of thermal storageenabled
demand response from flexible district energy systems.
Applied Energy 137, 823831 (2015)
2014
 T. De Angelis, G. Ferrari and J. Moriarty. A solvable twodimensional degenerate singular stochastic control problem with non convex costs. 2014, 27pp. Submitted, preprint
 J. Moriarty and J. Palczewski. American call options for power system balancing. 2014, 26pp. Submitted, preprint
 P. Z. Hadjipantelis, J. A. D. Aston, H.G. Muller and J. Moriarty.
Analysis of spike train data: A multivariate mixed effects model for phase
and amplitude.
Electronic Journal of Statistics 8:2 (2014), 17971807.  J. Gonzalez and J. Moriarty. Risksensitive optimal switching and applications to district energy systems (peer reviewed conference paper, 6pp).
Probabilistic Methods Applied to Power Systems PMAPS 2014, preprint
 P. Z. Hadjipantelis, N. S. Jones, J. Moriarty, D. A. Springate, C. G.
Knight. FunctionValued 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 7, 10921101 (2013) , Preprint  N.
S. Jones and J.
Moriarty.
Evolutionary Inference for Functionvalued Traits: Gaussian Process
Regression on Phylogenies.
Journal of the Royal Society Interface 10: 20120616 (2013), ArXiv  Y. Kitapbayev, P. Mancarella and J. Moriarty. A real options assessment of flexible district energy systems
(peer reviewed conference paper, 7pp).
10th International Conference on the European Energy Market EEM13, preprint.  S. French, W. J. Nuttall, N. Argyris, J. Moriarty and P.J.Thomas. The
Early Phase of a Radiation Accident: Revisiting Thinking on Evacuation and
Exclusion Zones (peer reviewed conference paper, 5pp).
Proceedings of the 10th International ISCRAM Conference (2013).  J. Moriarty. Feeding the Four Hundred.
MSOR Connections 13 (2013)

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 functionvalued traits: speech sound
evolution.
Trends in Ecology and Evolution 27:3, 160166 (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), 244263, 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 (peer reviewed conference paper, 10pp.)
Proceedings of the 35th APCOM Symposium (2011).
 A. B. Dieker and J. Moriarty.
Reflected Brownian motion in a
wedge: sumofexponential 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), 351383, 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), 251266.  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).
Teaching and Outreach
 Engineering and Physical Sciences Faculty Best in eLearning 2013 commendation
 Journal article on eLearning in MSOR Connections
 Faculty eLearning showcase article on large class sizes
 Presentation from a Higher Education Academy workshop on social media
 Article for the BBC on the Monty Hall Problem
 Mutating Messages, an EPSRC funded public experiment at the Swinton High School: blog and lesson plan (at the National STEM Centre eLibrary)