Ugo Rosolia
Principal Research Scientist at Lyric
Catania, Sicily, Italy
Summary
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Senior🎓
Top SchoolUgo Rosolia is a Principal Research Scientist with nine years of experience at the intersection of mechanical engineering, control systems, and applied AI, currently based in Catania, Sicily. He earned a Ph.D. from UC Berkeley following top honors at Politecnico di Milano and advanced studies at institutions including UIUC and MINES ParisTech, giving him deep theoretical and computational foundations. Ugo has progressed from hands-on research roles at Caltech and UC Berkeley to research leadership at Amazon and now Lyric, translating academic rigor into production-focused science and team management. His open-source work includes vehicle dynamics and state-estimation contributions to the well-known BARC simulator, reflecting practical expertise in embedded systems, sensor integration, and numerical modeling with Python/NumPy. Colleagues describe him as a scientist who blends rigorous modeling with pragmatic engineering—able to steer complex research programs while still diving into code-level dynamics.
9 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Mechanical Engineering, Doctor of Philosophy (Ph.D.), Mechanical Engineering at University of California, BerkeleyTongji UniversityUniversity of Illinois Urbana-ChampaignMaster's degree, Mechanical Engineering, Grade: 110 Cum Laude/110, Master's degree, Mechanical Engineering, Grade: 110 Cum Laude/110 at Politecnico di MilanoAthens Project, Nonlinear Computational Mechanics, Grade: A, Athens Project, Nonlinear Computational Mechanics, Grade: A at MINES ParisTech
English, Italian, French
Github Skills (6)
simulations10
simulation10
python10
ros10
numpy10
control-systems9
Programming languages (2)
Github contributions (5)
MPC-Berkeley/barc
Nov 2016 - May 2019
Main branch for BARC related code
Role in this project:
Embedded Systems Engineer / IoT Developer
Embedded Systems Engineer / IoT DeveloperContributions:173 commits, 8 PRs, 129 pushes in 2 years 6 months
Contributions summary:Ugo primarily contributed to vehicle simulation code, implementing and modifying vehicle dynamics models. Their work involved integrating sensor data (like ECU commands) and state estimation within the simulator. They worked in Python using libraries like NumPy, suggesting a focus on mathematical modeling and control systems within the context of an autonomous vehicle.
perceptionieeeautopilotroverself-driving-car
urosolia/LMPC
Aug 2019 - Jul 2021
Contributions:60 commits, 52 pushes, 1 branch in 1 year 11 months
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