I’m an ML research engineer at Daedalean, working on certifiable computer vision for autonomous flight in civil aviation. Previously, I was a Schmidt Postdoctoral Reaserch Fellow AI at Imperial College London, and obtained my PhD from the University of Cambridge.

My research in academia was about combining recurrent neural networks, convolutional autoencoders, Bayesian optimization and physical knowledge to predict the future time evolution of dynamical systems.

Experience

• 2023- : ML Researcher, Daedalean
  • Computer Vision for autonomous flight
• 2023-2024 : Schmdit Research Fellow, Imperial College London, I-X centre for AI in Science
  • ML and Model Predictive Control for the control of extreme events
• 2019-2023: PhD Candidate, University of Cambridge, Department of Engineering
  • Bayesian Optimization for the selection of hyperparameters
  • Prediction of extreme events with Recurrent Neural Networks
  • Reduced-order modeling with Convolutional Autoencoders
• 2018-2019: Research Assistant, University of Illinois at Urbana-Champaign
  • Numerical algorithms for hypersonic flows simulations
  • Uncertainty quantification of reaction rates with Gaussian Processes

Education

• B.S. in Aerospace Engineering, Universita’ di Pisa, 2016
• M.S. in Space Engineering, Universita’ di Pisa, 2019
• Ph.D. in Scientific Machine Learning, University of Cambridge, 2023