Zihang Fang
AI Research Engineer at Ellison Medical Institute
Los Angeles, California, United States
Summary
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Rockstar🎓
Top SchoolZihang Fang is an AI research engineer based in Los Angeles with three years of hands-on experience building computer vision and deep learning solutions across medical and industrial settings. He has delivered end-to-end work spanning image registration, classification, segmentation, and image-to-image translation, and currently applies those skills at Ellison Medical Institute after a machine learning engineer role at Pictor Labs. His background in biomedical engineering from Northeastern and Johns Hopkins underpins a practical focus on clinically relevant tools—he’s collaborated directly with pathologists and automated MRI analysis pipelines used by neurologists. Comfortable moving between research and production, he also has lab-hardware experience (7T MRI setup and PCB prototyping) that gives him an uncommon appreciation for data quality and experimental rigging.
3 years of coding experience
5 years of employment as a software developer
Johns Hopkins UniversityBachelor's degree, Bioengineering and Biomedical Engineering, 3.94/4.00, Bachelor's degree, Bioengineering and Biomedical Engineering, 3.94/4.00 at Northeastern University
Stackoverflow
1reputation
0reached
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Github Skills (22)
kalman-filter10
computer-graphics10
autonomous-robots10
slam10
robotics9
geometric-deep-learning9
pytorch9
python9
pose-estimation9
physics9
optimization9
deep-learning8
machine-learning4
mobile4
gpu4
Programming languages (2)
Github contributions (5)
ZihangFang/executorch
Jul 2025 - Jul 2025
Contributions:2 pushes, 1 branch in 4 days
pypose/pypose
May 2023 - Dec 2023
A library for differentiable robotics on manifolds.
Contributions:2 PRs, 10 pushes, 4 branches in 6 months
roboticspytorchpythonlie-groupoptimization
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