Alberto Silvestri
Data Scientist (Applied Ml & Control Engineer) @Beebop.Ai
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WORK HISTORY
Data Scientist (Applied Ml & Control Engineer) @Beebop.Ai
Antwerp, BE
Develop advanced control strategies (MPC) for BESS and heat pumps, optimising cost, peak shaving, and asset utilisation- Perform simulation-driven model calibration using real operational data to support robust real-world deployment- Develop and deploy household asset-detection models- Contribute to the design, maintenance, and evolution of a large, production-grade codebase supporting multiple energy optimisation services.
EDUCATION
Politecnico di Milano
Bachelor of Science (B.S.), Mechatronics, Robotics, and Automation Engineering
Politecnico di Milano
Master of Science - MS, Automation and Control Engineering
ETH Zürich
Doctor of Philosophy - PhD
ENSTA
Athens week exchange program, Aerospace, Aeronautical and Astronautical Engineering
SKILLS
ABOUT ALBERTO SILVESTRI
Applied ML & Control Engineer with a PhD from ETH Zurich, specialising in reinforcement learning and model predictive control for energy systems. I design, deploy, and maintain production-grade control and ML solutions for real-world assets such as HVAC systems, batteries, and heat pumps, delivering measurable efficiency and flexibility gains. I enjoy working at the intersection of AI, control, and engineering, translating research into scalable, reliable systems in collaboration with product and engineering teams.
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