Scholar
Luca Magri
Google Scholar ID: NSpYk5sAAAAJ
Imperial College London
Citations & Impact
Citations
2,261
H-index
27
i10-index
64
Publications
20
Co-authors
30
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Recipient of the Royal Academy of Engineering Research Fellowship.
Research Experience
- Since 2023, Professor of Scientific Machine Learning at Imperial College London; Reader in data-driven fluid mechanics at Imperial College London (2021-2023); Lecturer at the University of Cambridge (2018-2021); Royal Academy of Engineering Research Fellow at the University of Cambridge (2016-2021, awarded in September 2015).
Education
- PhD from the University of Cambridge (2012-2015), awarded in November 2015; Postdoctoral Fellow at Stanford University's Center for Turbulence Research (2015-2016).
Background
- Professor of Scientific Machine Learning, with research interests spanning Mechanical Engineering, Aerospace Engineering, Applied Mathematics, Classical Physics, Other Physical Sciences, Knowledge Representation and Machine Learning, Pattern Recognition and Data Mining, Fluid Physics, Simulation and Modelling, Optimization.
Miscellany
- Website: https://www.lucamagri.com/; Email: l.magri@imperial.ac.uk; Office: CAGB324, City and Guilds Building, South Kensington Campus, United Kingdom
