Songfang Han
Staff Machine Learning Engineer, World Modeling at Tesla
Cupertino, California, United States
Summary
👤
Senior🎓
Top SchoolSongfang Han is a Staff Machine Learning Engineer specializing in world modeling and generative AI, with eight years of experience spanning industry research and product-focused R&D at Snap, Apple, and Tesla. She earned a Ph.D. in Electronic & Computer Engineering from HKUST and conducted postdoctoral research at UC San Diego, working at the intersection of computer graphics and computer vision on multi-view geometry, 3D reconstruction, neural rendering, and efficient rendering. Songfang has a track record of translating academic advances into production-ready systems for inverse rendering and generative pipelines, and she built point-based neural methods during her visiting PhD work. Based in Cupertino, she blends deep theoretical grounding with practical engineering to drive world-scale modeling features in AR and autonomy contexts.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree EE, Bachelor's degree EE at Tongji UniversityHong Kong University of Science and Technology (HKUST)
English
Github Skills (35)
prediction8
docker-container8
3d-structure8
rsync7
3d6
kubernetes-cluster6
docker6
siggraph6
depth5
golang5
evolution5
optical-flow5
deep-learning5
pose5
depth-estimation5
Programming languages (3)
Github contributions (5)
hansongfang/CompNet
Sep 2021 - Nov 2022
Code of paper "Compositionally Generalizable 3D Structure Prediction"
Contributions:5 commits, 1 PR, 4 pushes in 1 year 2 months
deep-learningstructure-prediction3d-structureprediction
hansongfang/stereoReproj_win
Jul 2019 - Sep 2021
Contributions:75 pushes in 2 years 2 months
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