Jehan Yang
Doctoral Researcher at Pioneers in Engineering
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolJehan Yang is an NSF GRFP-backed PhD researcher at Carnegie Mellon University specializing in human-in-the-loop robot learning, safety, and shared control for manipulation and mobile manipulation. Over eight years of experience spans academic and industry work—from leading an open-source multi-dataset EMG benchmark showcased at NeurIPS 2024 to building real-time EMG control for mobile manipulators and implementing impedance control at Miso Robotics that cut collision forces by 80%. Jehan blends electrical and mechanical engineering foundations (Caltech MS, UC Berkeley BS) with practical robotics deployments and mentoring, and has an incoming ML research internship at Apple. Beyond sensors and algorithms, they bring cross-disciplinary fluency in wearable hardware, generative robot behavior, and human intent inference using modalities like EMG, gaze, and language.
8 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Mechanical Engineering w/ minor in EECS, Bachelor’s Degree, Mechanical Engineering w/ minor in EECS at University of California, BerkeleyAssociate’s Degree, Business Administration and Management, General, Associate’s Degree, Business Administration and Management, General at Foothill CollegeHigh School, High School at Diamond Bar High SchoolHigh School, Classical Guitar, High School, Classical Guitar at Douglas Anderson School of the ArtsCalifornia Institute of TechnologyDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Carnegie Mellon University
Github Skills (28)
keras-models9
convolutional-neural-networks9
tinyml9
prediction9
keras8
robotics8
edge-computing7
keras-tensorflow7
cpp7
jekyll6
deep-learning6
jekyll-theme6
machine-learning6
python6
avatar6
Programming languages (8)
Github contributions (5)
jehanyang/jehanyang.github.io
May 2020 - Mar 2025
Personal site using Lanyon, a tried-and-true jekyll theme
Contributions:15 PRs, 84 pushes, 2 branches in 4 years 10 months
lanyonjekylljekyll-theme
jehanyang/tacv-udp
Jun 2022 - Sep 2023
The SensorProd Inc. Tactilus API software allows for the Tactilus insole pressure sensor to be used at 200Hz. tacv-udp expands the capabilities of this proprietary API with UDP, two sensors, and total pad forces.
Contributions:2 PRs, 17 pushes, 5 branches in 1 year 3 months
apitotalsensorsproprietarypad
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