Giulia Vezzani
Senior Research Engineer at Istituto Italiano di Tecnologia
Genoa, Liguria, United Kingdom
Summary
👤
Senior🎓
Top SchoolGiulia Vezzani is a Senior Research Engineer at DeepMind and a humanoid robotics specialist with 11 years of experience spanning academia and industry, including postdoctoral work at Istituto Italiano di Tecnologia and a visiting scholarship at UC Berkeley’s BAIR. She combines strong C++ and test-automation skills (notably contributing to the widely used YARP robotics library’s math tests) with practical hardware experience on the iCub platform and applied deep reinforcement learning in Python/TensorFlow. Her research focuses on perception, grasping, object modeling and localization, where she bridges hands-on system development with rigorous experimental methodology. Known for quickly learning new skills and mentoring students, she brings both high academic achievement and a track record of identifying and correcting subtle errors in foundational robotics code.
11 years of coding experience
Master's degree, Electrical and Automation Engineering, 110/110 cum laude and academic praise, Master's degree, Electrical and Automation Engineering, 110/110 cum laude and academic praise at Università degli Studi di FirenzeDoctor of Philosophy - PhD, Advanced and Humanoid Robotics, Doctor of Philosophy - PhD, Advanced and Humanoid Robotics at Università degli Studi di GenovaScientific High School Diploma, 100/100, Scientific High School Diploma, 100/100 at Liceo Scientifico G.Castelnuovo
Italian, English
Github Skills (6)
robot10
c-language10
robotics10
cprogramming-language10
testing10
linear-algebra9
Programming languages (4)
Github contributions (5)
robotology/yarp
Feb 2016 - Dec 2016
YARP - Yet Another Robot Platform
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:6 commits, 5 PRs, 3 comments in 9 months
Contributions summary:Giulia primarily worked on unit testing within the `libYARP_math` library of the YARP project. Their contributions involved creating and modifying test functions, including testing conversions between Euler angles, matrices, and axis/angle representations, and testing of functions related to eigen values, and matrix operations. The work focused on ensuring the accuracy and reliability of mathematical functionalities within the library. The user identified and corrected errors in existing tests.
roboticscommunicationhumanoidsrobotyet-another
robotology/superquadric-model
Mar 2016 - Feb 2019
Contributions:3 releases, 419 commits, 3 PRs in 2 years 11 months
modelingvisualizingvisualization
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