Pierre Pinson Email & Phone Number
@imm.dtu.dk
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Who is Pierre Pinson? Overview
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Pierre Pinson is listed as Deputy-Head of School at Dyson School of Design Engineering, a company with 17491 employees, based in London Area, United Kingdom, United Kingdom. AeroLeads shows a work email signal at imm.dtu.dk and a matched LinkedIn profile for Pierre Pinson.
Pierre Pinson previously worked as Chair of Data-centric Design Engineering at Dyson School Of Design Engineering and Chief Scientist at Halfspace - A Data, Analytics & Ai Company. Pierre Pinson holds Ph.D., Energetics from Mines Paris - Psl.
Email format at Dyson School of Design Engineering
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About Pierre Pinson
I am the Chair of Data-centric Design Engineering at Imperial College London, Dyson School of Design Engineering (U.K.), as well as Deputy-head of School. In parallel to this primary appointment, I have the pleasure to be a Chief Scientist at Halfspace (Copenhagen, Denmark) and the Editor-in-Chief of the International Journal of Forecasting. I am also an affiliated Professor of Operations Research and Analytics at the Technical University of Denmark, Department of Technology, Management and Economics, as well as an Associated Research Fellow at Aarhus University (CoRE).Based on my 20+ years of activities within research, teaching and consultancy, I am recognised as a world-leading authority at the interface between data, AI and power systems/markets, e.g., as one of the fathers of (AI-based) probabilistic energy forecasting and of (AI-based) trading strategies for renewable assets. My core focus 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 teaching experience in several languages (French, English, Danish) and developed many novel and cutting edge modules (Bachelor, Master and PhD levels) while consistently receiving excellent student feedback. I have a strong focus on teaching innovation, e.g., producing video-based courses (on YouTube with 300.000 views). Teaching and supervision experience within Mathematics/Statistics, Data Science/AI, Electrical/Energy Engineering, Management Sciences and Meteorology.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.
Listed skills include Renewable Energy, Mathematical Modeling, Wind, Optimization, and 37 others.
Pierre Pinson's current company
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Pierre Pinson work experience
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Deputy-Head Of School
Current
Chair Of Data-Centric Design Engineering
Current
Chief Scientist
Current
Adjunct Professor, Operations Research And Analytics
Current
Professor, Operations Research
Storm Chasing Angel
CurrentEditor-In-Chief
Current
Director
CurrentOwner
Professor, Head Of Energy Analytics & Markets Group
Professor, Energy Analytics And Markets
Head of the Energy Analytics & Markets group, Center for Electric Power and EnergyDTU, Dept. of Electrical Engineering.Research combining stochastic process modelling, forecasting, operations research and power systems engineering, with application to Electricity Markets. Teaching the new course "31761 - Renewable in Electricity Markets" at DTU, focusing.
Associate Professor
Research on mathematical modelling for energy systems, e.g. statistical modeling, forecasting, optimization.Visiting researcher at University of Oxford, Mathematical Institute (January 2009), University of Washington, Dept. of Statistics (April-May 2009), University of Zaragoza, Dept. of Electrical Engineering (November 2009).Principal investigator and.
Assistant Professor
Research on mathematical methods for optimal management of energy systems, with focus on renewable energy
Post-Doc
Research on wind power modeling and forecasting, and on optimal management of district heating systems
Simons Fellow
Associate Editor
Editor
Editor
Consultant
Research on ensemble forecasts recalibration, combination of deterministic and probabilistic forecasts, probabilistic forecast verificationMain focus on the wind and wave variables
Research Engineer
Research and development on wind power forecasting and application to the optimal management and trading of wind power
Pierre Pinson education
Ph.D., Energetics
M.Sc., Applied Mathematics
Baccalaureat, Mathematics, Engineering
Frequently asked questions about Pierre Pinson
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What company does Pierre Pinson work for?
Pierre Pinson works for Dyson School of Design Engineering.
What is Pierre Pinson's role at Dyson School of Design Engineering?
Pierre Pinson is listed as Deputy-Head of School at Dyson School of Design Engineering.
What is Pierre Pinson's email address?
AeroLeads has found 1 work email signal at @imm.dtu.dk for Pierre Pinson at Dyson School of Design Engineering.
Where is Pierre Pinson based?
Pierre Pinson is based in London Area, United Kingdom, United Kingdom while working with Dyson School of Design Engineering.
What companies has Pierre Pinson worked for?
Pierre Pinson has worked for Dyson School Of Design Engineering, Halfspace - A Data, Analytics & Ai Company, Dtu - Technical University Of Denmark, Atmo, and International Journal Of Forecasting.
How can I contact Pierre Pinson?
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What schools did Pierre Pinson attend?
Pierre Pinson holds Ph.D., Energetics from Mines Paris - Psl.
What skills is Pierre Pinson known for?
Pierre Pinson is listed with skills including Renewable Energy, Mathematical Modeling, Wind, Optimization, Statistics, Energy, Numerical Analysis, and Statistical Modeling.
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