Join Professor Pierre Pinson, online or in person, for his Imperial Inaugural.
We have limited in-person spaces available so please ensure you register in advance.
Feel free to join us online using the following link.
Abstract
We are engaged in an energy transition that many see as part of the third industrial revolution. While needing substantial tech-focused developments related to hardware (e.g., with renewable energy technologies, heat pumps, batteries, etc.), this energy transition also requires to go beyond technology only. We are facing a fundamental paradigm shift in our relationship to how energy is produced, distributed and consumed. There, data, people and markets have become inextrically intertwined in the role they have to play.
Pierre Pinson is Professor in Data-centric Design Engineering at Imperial College London whose research concentrates on finding ways to generate value for society from data, with a strong focus on energy-related applications. In his inaugural lecture, he will explain how his multi-disciplinary approach led him to look at aspects of forecasting, optimisation and game theory, with collaborators from all over the world, to make data and markets key enablers of the energy transition. But, over the years, he also realised that these could not be dissociated from people, as the main stakeholder of that massive endeavour.
Biography
Pierre Pinson is the Chair of Data-centric Design Engineering at Imperial College London, Dyson School of Design Engineering, as well as the Deputy-head of School. He received an M.Eng/M.Sc. in Applied Mathematics from INSA Toulouse, as well as a PhD in Energy Engineering from Mines Paris, both located in France. He has held academic positions in applied mathematics, electrical engineering and management science departments, as well as at a meteorological institute (ECMWF in Reading, UK). Prior to joining the Dyson School of Design Engineering in 2022, he was a Professor at the Technical University of Denmark since 2013. Besides his main appointment at Imperial College London, he is a Chief Scientist at Halfspace – a data and AI company in Copenhagen, Denmark, as well as an affiliated Professor of Operations Research and Analytics at the Technical University of Denmark. He is the Editor-in-Chief of the International Journal of Forecasting, the most prominent scientific journal in the science and applications of forecasting. He is seen as a leading figure internationally within analytics for energy-related applications.
