Dr Luca Magri

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Position

Group Leader, Physics-informed machine learning and data assimilation

Former position

Turing Fellow

Partner Institution

Imperial College London
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Research areas

Statistical methods & theory Estimation theory Optimisation Nonlinear programming Artificial intelligence Control theory Neural networks Nonlinear dynamics Applied mathematics Dynamical systems & differential equations Ensemble (Mathematical modelling) Machine learning Supervised learning Semi-supervised learning Deep learning Applications (Machine learning)

Bio

Luca is a Professor in Scientific Machine Learning at Imperial College London. Luca is a Fellow and group leader under the Data-Centric Engineering Programme of The Alan TuringInstitute. Prior to joining Imperial, Luca was a Lecturer at Cambridge University Engineering Department, Royal Academy of Engineering (RAEng) Research Fellow, and Fellow of Pembroke College. Prior to becoming a lecturer and RAEng Research Fellow at Cambridge, he was a postdoctoral Fellow at Stanford University Center for Turbulence Research. He obtained his PhD in Engineering at the University of Cambridge. His research is currently funded by ERC, UKRI, and EPSRC.

Research interests

At The Alan Turing Institute, Luca is group leader of Physics-Informed Machine Learning and Data Assimilation under the Data-Centric Engineering Programme. In synergy with PREMIERE (EPSRC Programme Grant), Luca will perform research on optimal engineering design with multi-phase fluids, which are relevant to the energy sector, health care, manufacturing, biofluids, among others.

Turing Events