Luca Magri
Present
2023 - Professor of Scientific Machine Learning, Imperial College London, Aeronautics Department
2023 - Director of Research, Imperial College London, Aeronautics Department
2023 - Director, The Research Centre in Data-Driven Engineering, Imperial College London
2023 - Professor in Fluid Mechanics, Politecnico di Torino, PNRR project on TWIN - Real-time digital twins
2021 - Fellow and group leader, The Alan Turing Institute
2020 - Associate editor, Data-centric engineering
2020 - Associate editor, Theoretical and Computational Fluid Dynamics
Past
2021 - 2024 Affiliated lecturer, University of Cambridge, Engineering Department
2021 - 2023 Reader in data-driven fluid mechanics, Imperial College London, Aeronautics Department
2022 - 2023 Simons Fellow, Isaac Newton Institute for Mathematical Sciences
2018 - 2021 Hans Fischer Fellow, TUM Institute for Advanced Study
2019 - 2021 Fellow, Pembroke College
2018 - 2021 Lecturer, University of Cambridge, Engineering Department
2016 - 2021 Royal Academy of Engineering Research Fellow, University of Cambridge
2015 - 2016 Postdoctoral Fellow, Stanford University, Center for Turbulence Research
2012 - 2015 PhD, University of Cambridge, Engineering Department
2023 - Professor of Scientific Machine Learning, Imperial College London, Aeronautics Department
2023 - Director of Research, Imperial College London, Aeronautics Department
2023 - Director, The Research Centre in Data-Driven Engineering, Imperial College London
2023 - Professor in Fluid Mechanics, Politecnico di Torino, PNRR project on TWIN - Real-time digital twins
2021 - Fellow and group leader, The Alan Turing Institute
2020 - Associate editor, Data-centric engineering
2020 - Associate editor, Theoretical and Computational Fluid Dynamics
Past
2021 - 2024 Affiliated lecturer, University of Cambridge, Engineering Department
2021 - 2023 Reader in data-driven fluid mechanics, Imperial College London, Aeronautics Department
2022 - 2023 Simons Fellow, Isaac Newton Institute for Mathematical Sciences
2018 - 2021 Hans Fischer Fellow, TUM Institute for Advanced Study
2019 - 2021 Fellow, Pembroke College
2018 - 2021 Lecturer, University of Cambridge, Engineering Department
2016 - 2021 Royal Academy of Engineering Research Fellow, University of Cambridge
2015 - 2016 Postdoctoral Fellow, Stanford University, Center for Turbulence Research
2012 - 2015 PhD, University of Cambridge, Engineering Department
Job opportunities: 2 fully funded PhD studentships at Imperial College London "Magnetic control of hydrogen flames with real-time data assimilation" and "Model and atmospheric sensors' fusion for optimal aviation climate impact reduction with scientific machine learning ".
Link: https://www.imperial.ac.uk/brahmal-institute/dpsa/2025entry/
Find out more about The Research Centre in Data-Driven Engineering.
Link: https://www.imperial.ac.uk/brahmal-institute/dpsa/2025entry/
Find out more about The Research Centre in Data-Driven Engineering.
The Group
We are a diverse group of engineers, physicists, mathematicians and computer scientists. Our expertise is multi-disciplinarity. We synergistically combine physical laws with artificial intelligence to optimize complex problems of engineering interest for the drive to net zero and aerospace propulsion. We seamlessly connect research areas (AI, chaos theory, quantum mechanics, Riemann geometry, etc.), which are seemingly disconnected, to enable the solution of multi-physics and chaotic problems of engineering interest.
Present and past members (PhD students or postdocs) of the group; and main sponsors (see the group tab to find out who funds the specific projects).
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