Fabio Giardina
10+ years experience in academic research and 2+ years in software development.
Postoctoral research in applied mathematics at Harvard University, PhD in Robotics from the University of Cambridge, Master's and Bachelor's degree from ETH Zürich.
Currently at Credit Suisse (UBS Group) as a Quantitative Developer.
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Portfolio
Physics-based simulations
Reinforcement learning of ancient gaits
Pheromone-driven cooperation in ant collectives
Dynamical interactions of polar particles on 2D manifolds
Robotics and Algorithms
Cooperative construction with phototactic robots
Data-efficient machine learning for automated robot optimization
The sparse nullspace decomposition algorithm for modular motion primitives
Other
A Python module for Chebyshev spectral methods
Neural style transfer Jupyter Notebook
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