Ante Qu
Applied Research Scientist at Meta
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolAnte Qu is a Staff Software Engineer in the San Francisco Bay Area with a PhD and 11 years of engineering experience focused on motion planning, physics simulation, and high-performance C++ systems. He has 5.5 years productionizing motion planners at Waymo and prior research in yarn-level cloth, contact modeling, and acoustic synthesis, blending deep simulation theory with pragmatic product delivery. His toolkit spans 10 years of C++ (including AVX512 SIMD and CUDA), contributions to the Drake robotics library, and a track record of adding robust implicit integrators and contact-geometry visualization. Comfortable navigating complex organizational tradeoffs, he pairs rigorous research instincts with hands-on optimization for real-world autonomy stacks. An uncommonly practical researcher, he routinely converts sophisticated numerical methods into tested, production-quality components used in safety-critical robotics.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stanford UniversityWorcester College, Study Abroad, Worcester College, Study Abroad at University of OxfordBachelor of Arts (BA), Physics, Bachelor of Arts (BA), Physics at Princeton University
French
Github Skills (8)
c-language10
robotics10
cprogramming-language10
numerical-integration10
testing9
python9
algorithms8
automatic-differentiation8
Programming languages (6)
Github contributions (5)
RobotLocomotion/drake
Jul 2019 - Jun 2020
Model-based design and verification for robotics.
Role in this project:
Backend Developer
Backend DeveloperContributions:15 commits, 29 PRs, 7 pushes in 11 months
Contributions summary:Ante contributed to the `drake` robotics library by improving the visualization of contact geometry and implementing checks and refactoring implicit integration tests. They refactored convergence checks within Newton-Raphson iterations for the implicit integrators, moving the logic to a common location. The user also added an implementation for a fixed-step velocity-implicit Euler integrator.
roboticsdrake
antequ/antequ.github.io
Jul 2019 - Sep 2021
Ante Qu's Personal Website
Contributions:10 PRs, 58 pushes, 1 branch in 2 years 3 months
reacttailwindcssante
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