CV

Education

B.S. in Computer Engineering, Politecnico di Milano, 2017
M.S. in Computer Engineering, Politecnico di Milano, 2019
Ph.D in Engineering Science, University of Oxford, 2023 (expected)

Work experience

Summer 2020: FDL Research Sprint
- Frontiers Development Lab Europe (ESA/Trilium Technologies)
- Duties included: Machine Learning Researcher, developed Bayesian Deep Learning and Probabilistic Programming models for satellite collision assessment.
- Supervisor: A.B. Gunes, C. Bridges

Skills

Probabilistic Programming
Machine Learning and Deep Learning
Computer Graphics and Video Game Development
Robotics Simulations and SLAM
Database management
Full-Stack Web development
Mobile App Developer
Software Engineering

Publications

Towards Automated Satellite Conjunction Management with Bayesian Deep Learning, F. Pinto, G. Acciarini, S. Metz, S. Boufelja, S. Kaczmarek, K. Merz, J. A.M.Heras, F. Letizia, C. Bridges, A.G. Baydin (AI4EarthSciences, NeurIPS 2020)}
Spacecraft Collision Risk Assessment with Probabilistic Programming, G. Acciarini, F. Pinto, S. Metz, S. Boufelja, S. Kaczmarek, K. Merz, J. A.M.Heras, F. Letizia, C. Bridges, A.G. Baydin (ML4PS, NeurIPS 2020)
SECI-GAN: Semantic and Edge Completion for dynamic objects removal, F. Pinto, A. Romanoni, M. Matteucchi, P.H.S. Torr (ICPR 2020)

Towards Automated Satellite Conjunction Management with Bayesian Deep Learning Permalink

Francesco Pinto, Giacomo Acciarini, Sascha Metz,Sarah Boufelja, Sylvester Kaczmarek, Klaus Merz,Jose A Martinez-Heras, Francesca Letizia, Christopher Bridges, and Atılım Gunes Baydin (2020). "Towards automated satellite conjunction management with bayesian deep learning." NeurIPS 2020: AI for Earth Sciences Workshop, 2020

Spacecraft collision risk assessment with probabilistic programming Permalink

Francesco Pinto, Giacomo Acciarini, Sascha Metz,Sarah Boufelja, Sylvester Kaczmarek, Klaus Merz,Jose A Martinez-Heras, Francesca Letizia, Christopher Bridges, and Atılım Gunes Baydin (2020). "Spacecraft collision risk assessment with probabilistic programming." NeurIPS 2020: MLPS Workshop, 2020

Mix-MaxEnt: Improving Accuracy and Uncertainty Estimates of Deterministic Neural Networks Permalink

Francesco Pinto, Harry Yang, Ser-Nam Lim, Philip H.S. Torr, Puneet K. Dokania (2021). "Mix-MaxEnt: Improving Accuracy and Uncertainty Estimates of Deterministic Neural Networks." NeurIPS 2021: DistShift, 2021

Are Vision Transformers Always More Robust Than Convolutional Neural Networks? Permalink

Francesco Pinto, Philip H.S. Torr, Puneet K. Dokania (2021). "Are Vision Transformers Always More Robust Than Convolutional Neural Networks?." NeurIPS 2021: DistShift, 2021

</ul>

Talks

FDL Europe Space Science and AI Showcase (Constellations Team): https://www.youtube.com/watch?v=kZxYMCKTo50

Spacecraft Collision Avoidance with Bayesian Deep Learning Permalink

December 14, 2021

Invited Talk at Bayesian Deep Learning Workshop, Virtual