Yun Chang - Roboticist at Confidential ( Stealth Mode )

Yun Chang

Roboticist at Confidential ( Stealth Mode )

Cambridge, Massachusetts, United States

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Summary

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Rockstar

🎓

Top School

Yun Chang is a roboticist with a decade of hands-on experience building perception, control, and mapping systems, recently completing a PhD in Autonomous Systems at MIT. Their work spans academic research and applied engineering—from DARPA Subterranean multi-robot localization to practical ROS integrations for visual-inertial odometry, including contributions to the widely used Kimera-VIO project. Yun combines strong sensor-data engineering (timestamping, calibration parsing, IMU/stereo pipelines) with back-end system design, enabling robust SLAM and dense mapping for real-world platforms. They have iterated on hardware-in-the-loop projects across drones, rovers, and autonomous vehicles, and interned at Aurora and RAI where low-cost perception and safety were central. Now based in Cambridge and working in stealth-mode robotics, Yun brings both deep research rigor and pragmatic code-first delivery to building resilient autonomy. An unexpected strength is their early focus on risk-aware planning and stochastic trajectory optimization, which informs their practical approach to perception and control.

10 years of coding experience

8 years of employment as a software developer

Doctor of Philosophy - PhD Autonomous Systems, Doctor of Philosophy - PhD Autonomous Systems at Massachusetts Institute of Technology

Github Skills (13)

c-language10

cprogramming-language10

data-parsing10

slam10

ros10

stereo9

state-space9

estimate9

state-machine9

parameter-estimation9

stereoscopy9

robotics9

imu9

Programming languages (2)

C++Python

Github contributions (5)

MIT-SPARK/Kimera-VIO-ROS

Feb 2019 - May 2021

ROS wrapper for Kimera-VIO

Role in this project:

Backend Developer

Contributions:1 review, 122 commits, 2 pushes in 2 years 2 months

Contributions summary:Yun contributed to the creation of the basic class structure and files for a ROS wrapper for Kimera-VIO. The commits demonstrate the initial setup of the `RosDataSource.h`, `RosDataSource.cpp` and `stereoVIOROS.cpp` files. They also involved setting up and parsing the camera and IMU data. These changes indicate the implementation of a system to handle input from ROS topics, especially for stereo vision and IMU data.

cpureconstructionimucatkinrosbag

MIT-SPARK/Kimera-VIO

Feb 2019 - May 2021

Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.

Role in this project:

Back-end Developer & Data Engineer

Contributions:207 commits, 1 push, 4 branches in 2 years 3 months

Contributions summary:Yun implemented core features and refactored code within the `kimera-vio` repository. The contributions included integrating a new dataset (KITTI), fixing parsing issues, and adding functionality to read calibration data. Code changes strongly suggest interaction with data parsing pipelines for sensor data, specifically timestamp handling and IMU data parsing.

mesh-generationodometrysimulationinertial-odometryreal-time

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