Alessio Quaglino

Senior Research Engineer at Google DeepMind

London, England, United Kingdom
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Summary

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Alessio Quaglino is a Senior Research Engineer at DeepMind with a PhD in Mathematics and a strong track record building physics-driven simulation libraries and ML systems for industry. He blends rigorous mathematical modeling and uncertainty quantification with practical engineering—having developed MuJoCo components, optimized Formula 1 suspension models at McLaren, and shipped a SaaS deep-learning controller for chemical processes. Alessio moves fluidly between C++ performance engineering (collision and FE solvers) and Python research tooling for large-scale simulations, and has led and mentored early-career researchers while administering graduate programs. His work sits at the intersection of simulation, optimization, and data-driven automation, with the uncommon combination of hands-on race-car dynamics experience and formal UQ expertise. Based in London, he brings both academic depth and product-focused delivery to complex, real-time physical systems.
code4 years of coding experience
job10 years of employment as a software developer
bookKTH Royal Institute of Technology
bookBachelor of Science (B.Sc.), Engineering Mathematics, Bachelor of Science (B.Sc.), Engineering Mathematics at Politecnico di Milano
bookDoctor of Philosophy (Ph.D.), Mathematics, magna cum laude, Doctor of Philosophy (Ph.D.), Mathematics, magna cum laude at Georg-August-Universität Göttingen
languagesEnglish, Italian, Swedish
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Github Skills (45)

simulation10
sparse10
physics-engine10
deterministic10
artificial-intelligence10
robotics10
simulator10
volume-rendering10
reinforcement-learning-environments10
data-structure10
reinforcement-learning10
bullet-physics10
dynamics10
openvdb10
openframeworks10

Programming languages (4)

C++CJupyter NotebookPython

Github contributions (5)

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quagla/SdfLib

Aug 2023 - Sep 2023

SdfLib is a library for accelerating the queries of signed distance fields from triangle meshes
Contributions:22 PRs, 51 pushes, 8 branches in 1 month
quagla/mujoco

Apr 2023 - Jul 2023

Multi-Joint dynamics with Contact. A general purpose physics simulator.
Contributions:4 pushes, 1 branch in 2 months
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