Fangda Li
Computational Biologist
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolFangda Li is a computational biologist and PhD-trained computer engineer with 11 years of experience bridging deep learning, computer vision, and medical imaging. Currently at 10x Genomics, he specializes in image analysis for computational pathology, having developed generative stain-translation and augmentation frameworks that robustly predict molecular representations from H&E images. His Purdue Robot Vision Lab work spans CT reconstruction, real-time 3D X-ray baggage threat detection, and novel motion-planning and graphics systems, demonstrating an unusual combination of medical imaging, robotics, and GPU-accelerated algorithm design. Fangda has published nine papers, taught graduate courses in deep learning and geometric vision, and has a track record of turning research prototypes into performant, production-ready models. Based in the Bay Area, he brings both theoretical rigor and practical engineering—often solving data inconsistency and domain-variation problems with creative generative and contrastive learning techniques.
11 years of coding experience
Doctor of Philosophy - PhD Computer Engineering, Doctor of Philosophy - PhD Computer Engineering at Purdue University
English, Chinese
Stackoverflow
623reputation
93kreached
5answers
2questions
syntax-highlighting
top-5%
Github Skills (67)
robot9
syntax-highlighting9
electrophysiology8
crowd8
robotics8
python8
deep-learning8
gpu8
planning8
machine-learning8
astra8
histopathology8
moveit8
matlab7
cyclegan7
Programming languages (3)
Github contributions (5)
lifangda01/BME595-DeepLearning
Aug 2016 - Apr 2017
Contributions:49 commits, 10 pushes in 7 months
lifangda01/ECE661-ComputerVision
Sep 2016 - Jan 2017
Contributions:78 commits, 70 pushes, 1 branch in 4 months
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