Zihang Fang
AI Research Engineer at Ellison Medical Institute
Los Angeles, California, United States
Summary
🤩
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
Github Skills (14)
robotics10
planning10
autonomous-robots10
computer-graphics10
slam10
kalman-filter10
pose-estimation9
optimization9
python9
physics9
ros9
pytorch9
deep-learning8
geometric-deep-learning8
Programming languages (1)
Github contributions (3)
pypose/pypose
May 2023 - Dec 2023
A library for differentiable robotics.
Contributions:2 PRs, 10 pushes, 4 branches in 6 months
pytorchroboticspythongeometric-deep-learningcomputer-graphics
zitongzhan/pytorch
Jun 2024 - Jun 2024
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:1 push, 1 branch in 6 days
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