Alberto Racca Email & Phone Number

Zurich, Switzerland

Zurich, Switzerland

Eric and Wendy Schmidt Artifical Intelligence in Science Postdoctoral Fellow at I-X, Imperial College London.

Cambridge, England, United Kingdom

Machine learning for the prediction of time series in dynamical systems.Work published as 5 first-author papers in top-tier peer-reviewed journals and conferences.Won prestigious scholarship by the Cambridge Trust and EPSRC, awarded over a competitive selection of more than 100 applicants.- Developed new validation strategies to improve Recurrent Neural Networks (LSTMs, GRUs, ESNs) in predicting chaotic time series. Racca and Magri, Neural Networks (2021). GitHub : https://github.com/alberacca/Echo-State-Networks - Deployed Bayesian Optimization and Recurrent Neural Networks to predict and control extreme events in fluid dynamics. Racca and Magri, Physical Review Fluids (2022).GitHub: https://github.com/MagriLab/ESN-MFE - Combined Convolutional Autoencoders and Recurrent Neural Networks to predict high-dimensionalsystems through reduced-order modeling, Journal of Fluid Mechanics (2023).

Supervised undergraduate students for the compressible flows module.

Probabilistic machine learning and computational fluid dynamics.Position funded by AirForce and NASA.- Deployed Gaussian Processes for Uncertainty Quantification of chemical rate coefficients in reacting flows. - Developed algorithms for the simulation of hypersonic flows around manned vehicles entering the atmosphere at the Center for Hypersonics & Entry Systems Studies (CHESS) at UIUC.

Doctor Of Philosophy - Phd, Applied Machine Learning, Engineering

Machine learning for the prediction of dynamical systems and turbulence.

Master Of Science - Ms, Space Engineering, Highest Marks In The Year - First Class Honours (110L, Summa Cum Laude)

Laurea Triennale, Ingegneria Aerospaziale, Aeronautica E Astronautica, First Class Honours (110L, Summa Cum Laude)