Alberto Chiappa is a research engineer and PhD candidate at EPFL focused on bringing human-level motor control to embodied AI through deep reinforcement learning and curriculum-based approaches. With a decade of experience spanning academic research, industry R&D leadership at Schindler, and a recent internship at Sony, he has published and won awards at top venues (NeurIPS, Neuron) and led prize-winning auto-bidding work at KDD/NeurIPS. He builds scalable learning systems for high-dimensional control and exploration, supervises many student projects, and now applies this expertise at Flexion Robotics. Notably, his work bridges practical deployments (patented elevator sensing app, ML MVPs for business) and cutting-edge generalist transformer agents for motor control.
10 years of coding experience
2 years of employment as a software developer
Master of Science (MSc), Computational Science and Engineering, Master of Science (MSc), Computational Science and Engineering at Ecole polytechnique fédérale de Lausanne
Master of Science (MSc), Mathematical Engineering - Computational Science, Master of Science (MSc), Mathematical Engineering - Computational Science at Politecnico di Milano
Contributions:10 pushes, 1 branch, 3 comments in 1 year 2 months
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Alberto Chiappa - Research Engineer at Flexion Robotics