Fangchang Ma
Co-Founder And CEO at Nuance Labs
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolFangchang Ma is a seasoned AI/CV researcher and founder with 9 years of experience at the intersection of computer vision, graphics, and AR/VR. As Co-Founder and CEO of Nuance Labs, he is building a real-time, multi-modal foundation model focused on understanding and expressing human emotion. Prior to that, he led research at Apple as Research Manager, driving neural rendering and depth estimation technologies for next-gen AR/VR and contributing to Vision Pro capabilities. He holds a PhD in Autonomous Systems & Robotics from MIT and a BEng in Computer Engineering from HKUST, with an exchange stint at UPenn. He has a track record of translating research into product, and he's actively involved in the innovation community as a Founder Fellow at South Park Commons. Based in Seattle, he combines hands-on engineering with strategic leadership to guide AI research initiatives from concept to deployment.
9 years of coding experience
5 years of employment as a software developer
Hong Kong University of Science and Technology (HKUST)Doctor of Philosophy (Ph.D.), Autonomous Systems & Robotics, Doctor of Philosophy (Ph.D.), Autonomous Systems & Robotics at Massachusetts Institute of TechnologyExchange Program, Computer Engineering, Exchange Program, Computer Engineering at University of Pennsylvania
Stackoverflow
1reputation
0reached
0answers
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Github Skills (47)
depth-estimation10
neural-rendering10
depth10
3d-reconstruction10
computer-vision9
kitti9
generative-model9
prediction9
generative-adversarial-network9
3d-graphics9
siggraph9
sparse9
stereo9
kitti-dataset9
optical-flow9
Programming languages (3)
Github contributions (5)
fangchangma/sparse-to-dense
Sep 2017 - Jan 2023
Contributions:38 pushes, 1 branch, 30 comments in 5 years 5 months
fangchangma/sparse-to-dense.pytorch
Feb 2018 - Apr 2020
ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)
Contributions:3 PRs, 23 pushes, 4 branches in 2 years 2 months
pytorchpredictiondeep-learningsingle-imagesparse
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