Sibo Zhu
Research Assistant at MIT Driverless
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolSibo Zhu is a research-focused machine learning engineer with nine years of experience applying deep learning to autonomous vehicles, perception, and outlier detection. Based in Cambridge, he directs AI for MIT Driverless, where he has led neural network pruning, camera/LiDAR perception stacks, and race-winning entries at international Formula Driverless events. His work spans academia and applied research—coauthoring a computer vision pipeline paper and transitioning models from lab to real-time vehicle deployment. Formerly a PhD student and cofounder in AI ventures, he blends rigorous research methods with hands-on systems engineering and team leadership. Notably, he pairs path-planning integration with lightweight, deployable neural nets, emphasizing safety-critical performance on resource-constrained platforms.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Master of Science - MS at Brandeis UniversityBachelor of Arts - BA, Bachelor of Arts - BA at Boston University
中文 (chinese), English, 日本語 (japanese)
Stackoverflow
11reputation
1kreached
1answer
1question
Github Skills (67)
python10
deep-learning10
gpu10
yolov510
resnet10
object-detection10
machine-learning10
numpy9
openmmlab9
acceleration9
pipeline9
neural-network9
tensor9
computer-vision9
simulator9
Programming languages (5)
Github contributions (5)
cv-core/MIT-Driverless-CV-TrainingInfra
Oct 2019 - Aug 2020
PyTorch pipeline of MIT Driverless Computer Vision paper(2020)
Contributions:152 commits, 1 PR, 155 pushes in 10 months
object-localizationopenmmlabkeypointsmit-driverlesspipeline
Sibozhu/Sibozhu.github.io
Oct 2017 - Sep 2020
Contributions:233 pushes, 1 branch in 2 years 11 months
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