Pablo Domingo
Deep Learning Scientist at Computer Vision Center
Valencia, Valencian Community, Spain
Summary
🤩
Rockstar🎓
Top SchoolPablo Domingo is a Deep Learning Scientist with a PhD in theoretical physics and six years of research and engineering experience applying advanced ML to cosmology and autonomous driving. He currently develops Graph Neural Network solutions and data-driven traffic models for the CARLA open-source simulator at the Computer Vision Center, contributing full-stack code including ROS2 integration and sensor/physics examples. During his PhD at IFIC he authored 16 scientific articles and presented work at institutions such as Princeton, Tokyo and Brussels, reflecting a strong track record of translating theoretical insight into practical systems. Pablo blends rigorous physics training with hands-on software development, from neural terramechanics to AI behavior agents, and maintains an active public portfolio of code and publications. A detail that sets him apart is his ability to bridge DDS/ROS2 middleware expertise with high-level ML research, enabling end-to-end contributions across simulator stacks.
6 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Physics, Sobresaliente cum laude, Doctor of Philosophy - PhD, Physics, Sobresaliente cum laude at Universitat de València
Spanish, Catalan, English, Portuguese
Stackoverflow
7reputation
52kreached
3answers
2questions
Github Skills (19)
c-language10
python10
simulator10
cprogramming-language10
opendds10
ros10
autonomous-driving9
unreal-engine-48
api-design7
apim7
api7
computer-vision7
camera6
numerical-methods6
3d6
Programming languages (6)
Github contributions (5)
carla-simulator/carla
Jan 2022 - Jan 2025
Open-source simulator for autonomous driving research.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:8 reviews, 30 PRs, 23 pushes in 3 years 1 month
Contributions summary:Pablo contributed significantly to both the backend and frontend aspects of the CARLA simulator project. They implemented ROS2 publisher and subscriber functionality, demonstrating knowledge of DDS and related technologies. Furthermore, the user made changes to several Python scripts, encompassing examples related to traffic generation, vehicle physics, manual control, and sensor visualization, showing a grasp of the simulator's API and its capabilities. The user also worked on fixing bugs, improving comments, and making usability enhancements within the Python examples.
deep-reinforcement-learningsimulationcarlasimulatorsimulator-source
PabloVD/chrono
Dec 2022 - Jul 2023
High-performance C++ library for multiphysics and multibody dynamics simulations
Contributions:2 PRs, 86 pushes, 7 branches in 7 months
physicscppc-librarymultiphysicsc-plus-plus
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