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 (34)

simulation10
physics-engine10
deterministic10
artificial-intelligence10
robotics10
simulator10
volume-rendering10
machine-learning10
reinforcement-learning-environments10
model-predictive-control10
hardware10
reinforcement-learning10
dynamics10
bullet-physics10
nvidia10

Programming languages (3)

C++CPython

Github contributions (5)

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quagla/SdfLib

Aug 2023 - May 2025

SdfLib is a library for accelerating the queries of signed distance fields from triangle meshes
Contributions:22 PRs, 52 pushes, 8 branches in 1 year 9 months
quagla/mujoco_warp

Jun 2025 - Jul 2026

GPU-optimized version of the MuJoCo physics simulator, designed for NVIDIA hardware.
Contributions:125 pushes, 5 branches in 1 year
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