Physics-aware machine learning and data assimilation
Luca Magri
People
Group
Collaborations
Publications
Research
Overview
Data assimilation and UQ
Physics-aware machine learning
Optimization
Chaos
Reacting flows
Sound
Linear methods from quantum mechanics
Teaching
University modules
Mathematical methods
KTH Winter School
Misc
Contact
Opportunities
Outreach
>
Data-driven methods, machine learning and optimization
Data-driven Dynamical Systems Analysis
DNS Database
Open-source software
Imperial College London
Lecturer
2021 - present, Module leader and lecturer,
Artificial Intelligence for Aerospace Engineers
(advanced computational methods for 3rd-4th year, MSc)
University of Cambridge (until 2021)
Lecturer
2019 - 2021, Module leader and lecturer,
Mathematical Methods
(3M1, 3rd-year)
2019 - 2021, Module leader and lecturer,
Fluid Mechanics II
(3A3, double module, 3rd year)
2019 - 2021, Coordinator, Heat Transfer laboratory
2018 - 2021, Lecturer,
MPhil in Energy Technologies
, Gas Turbines.
Supervisor
Mathematics Part IB
(2nd year, 2P7, Vector calculus, Probability, Linear Algebra)
Fluid mechanics I
(3rd-year, 3A1, double module, Incompressible fluid mechanics)
Fluid mechanics II
(3rd-year, 3A3, double module, Compressible fluid mechanics)
Mathematical methods
(3rd-year, 3M1, Linear algebra, Stochastic processes, Optimization)
Luca Magri
People
Group
Collaborations
Publications
Research
Overview
Data assimilation and UQ
Physics-aware machine learning
Optimization
Chaos
Reacting flows
Sound
Linear methods from quantum mechanics
Teaching
University modules
Mathematical methods
KTH Winter School
Misc
Contact
Opportunities
Outreach
>
Data-driven methods, machine learning and optimization
Data-driven Dynamical Systems Analysis
DNS Database
Open-source software