Jerred Chen
Graduate Student
Oxford, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolJerred Chen is a PhD student in Computer Science at the University of Oxford with six years of experience at the intersection of machine learning and 3D robot perception. He holds dual bachelors in Mechanical Engineering and Computer Science from Georgia Tech and has hands-on experience building real-time SLAM pipelines and factor graph optimizers for quadruped robots. His work at Borg Lab and contributions to the widely used GTSAM library include Python iSAM2 examples that showcase incremental Pose SLAM in 2D and 3D, reflecting both practical system engineering and strong documentation discipline. Industry internships in navigation and sensor fusion refined his skills in measurement modeling, filtering, and benchmarking, while teaching and RA roles highlight his ability to communicate complex robotics concepts. Unusually for a PhD student, he brings a blend of mechanical systems intuition and software-first ML approaches to advance intelligent scene understanding.
6 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of OxfordBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Georgia Institute of Technology
Github Skills (10)
nonlinear-optimization10
robotics10
gtsam10
slam10
python10
pose-estimation10
matplotlib9
machine-learning9
c-language8
cprogramming-language8
Programming languages (3)
Github contributions (5)
borglab/gtsam
Oct 2021 - Oct 2021
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
Role in this project:
ML Engineer
ML EngineerContributions:3 reviews, 18 commits, 1 push in 16 days
Contributions summary:Jerred implemented and documented Python examples utilizing iSAM2 within the GTSAM library. These examples demonstrate the use of iSAM2 for solving Pose SLAM problems in both 2D and 3D spaces. The contributions involve creating and modifying Python code, including plotting functionalities and loop closure detection, to showcase the incremental optimization capabilities of iSAM2. Additionally, the user adjusted docstrings to match Google style guide.
smoothingsparsec-plus-plushierarchicalpattern-recognition
jerredchen/A1_SLAM
Dec 2021 - Jan 2023
A1 SLAM: Quadruped SLAM using the A1's onboard sensors
Contributions:135 commits, 5 PRs, 8 pushes in 1 year
onboardroboticssensorsquadrupedlidar-slam
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.