Runsheng Xu
Senior Research Scientist at Waymo
Los Angeles, California, United States
Summary
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Rockstar🎓
Top SchoolRunsheng Xu is a research scientist with six years of experience specializing in autonomous driving simulation and backend systems, currently affiliated with Waymo Research and holding a PhD from UCLA. Based in Los Angeles and originally from China, he contributes to open-source projects like ucla-mobility/OpenCDA, where his work extended CARLA agents and refined motion model prediction logic for cooperative driving stacks. His background blends academic rigor with practical system-building, demonstrating an ability to implement and adapt complex simulation agents for real-world research. Colleagues describe him as a detail-oriented engineer who favors extending existing architectures to unlock new behaviors in multi-agent driving scenarios.
6 years of coding experience
6 years of employment as a software developer
Bachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at Illinois Institute of TechnologyMaster's degree Electrical Engineering and Computer Science (EECS), Master's degree Electrical Engineering and Computer Science (EECS) at Northwestern UniversityUniversity of California, Los Angeles
Stackoverflow
75reputation
3kreached
0answers
6questions
Github Skills (11)
python10
simulation9
simulations9
computer-engineering8
destructor6
hash6
compiler-errors6
berkeley-db6
colorbar6
bitwise-operators6
constructor6
Programming languages (5)
Github contributions (5)
ucla-mobility/OpenCDA
Jan 2021 - Jan 2023
A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.
Role in this project:
Backend Developer
Backend DeveloperContributions:1 release, 46 reviews, 573 commits in 2 years
Contributions summary:Runsheng's commits primarily involve the addition of a new agent and the modification of an existing behavior agent within the context of a cooperative driving automation framework using CARLA and SUMO. They copied and modified a carla agent, which implies implementing and extending existing functionality. The user's work touched upon core functionalities such as motion model prediction, showing the user's deep involvement with the core functions of the simulation.
automationfull-stackautonomous-drivingcooperative-driving-automationsimulation
DerrickXuNu/derrickxunu.github.io
Jan 2021 - Aug 2025
Contributions:32 pushes in 4 years 8 months
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