I am the Chair of Data-centric Design Engineering at Imperial College London, Dyson School of Design Engineering (U.K.), a Chief Scientist at Halfspace (Copenhagen, Denmark) and the Editor-in-Chief of the International Journal of Forecasting. I am also an affiliated Professor with the Technical University of Denmark, Department of Technology, Management and Economics.
The core focus of my research, teaching and consultancy activities is on how to generate optimal value for society from data. I take a very multidisciplinary approach combining various aspects of mathematics & statistics with a number of application areas e.g. meteorology, power and energy, logistics and business analytics. I have made some important contributions within forecasting, optimisation under uncertainty and game theory, especially with power and energy applications. This include, for instance, probabilistic energy forecasting (wind, solar, wave, load, market quantities), trading in energy markets, market design (probabilistic, peer-to-peer, coordination between markets, new market products), data markets.
I have been a guest researcher at the University of Oxford (Mathematical Institute), at the University of Washington in Seattle (Department of Statistics), a visiting professor at Ecole Normale Superieure (Rennes, France), a scientist at the European Centre for Medium-range Weather Forecasts (ECMWF, located in Reading, UK) and a Simons Fellow at the Isaac Newton Institute for Mathematics Sciences in Cambridge, UK.
Candidates interested in a PhD position with me should send me an email with a CV and a research proposal, plus possibly some reference letters. Please note that I will only consider candidates with a strong background and interests in applied mathematics and programming.
In parallel, you should first check whether you fulfil the entrance requirements for Postgraduate Study (PhD) in the School of Design Engineering.
Miguel Angel M, Pinson P, Kazempour J, 2023, Online decision making for trading wind energy, Computational Management Science, Vol:20, ISSN:1619-697X, Pages:1-31
et al., 2023, Moving from linear to conic markets for electricity, European Journal of Operational Research, Vol:309, ISSN:0377-2217, Pages:762-783
Pinson P, 2023, What may future electricity markets look like?, Journal of Modern Power Systems and Clean Energy, Vol:11, ISSN:2196-5625, Pages:705-713
et al., 2023, On machine learning-based techniques for future sustainable and resilient energy systems, Ieee Transactions on Sustainable Energy, Vol:14, ISSN:1949-3029, Pages:1230-1243
et al., 2023, Chance-constrained generic energy storage operations under decision-dependent uncertainty, Ieee Transactions on Sustainable Energy, ISSN:1949-3029, Pages:1-14