ZHOU MU
Switzerland, China
Summary
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SeniorMu Z is a researcher with eight years of experience at the intersection of computer vision and machine learning, currently based in the Zürich area and working at Zoo Zürich. Trained with a PhD in Neuroscience from EPFL and an MS in Computer Science from University of Tsukuba, Mu focuses on few-shot learning, domain adaptation, and pose estimation, bringing both theoretical rigor and applied experience from internships and research roles including SonyAI and AIST. Their background blends neuroscience-informed perspectives with hands-on systems research, enabling work that tackles data-scarce and cross-domain perception problems. Notably, Mu transitioned from student researcher roles into a doctoral assistantship at EPFL and later into industry-facing research, demonstrating an aptitude for moving ideas from lab prototypes toward real-world applications.
8 years of coding experience
Github Skills (27)
toolbox10
pose10
pose-estimation10
deep-learning9
generative-adversarial-network8
pytorch8
denoising7
autoencoder7
image-manipulation7
computer-vision7
android-application6
mvp-android6
face6
deepfake5
android-app5
Programming languages (3)
Github contributions (5)
zhoumu53/few_shot_learning
Aug 2018 - Jan 2019
Contributions:41 commits, 34 pushes, 1 branch in 5 months
zhoumu53/DeepLabCut
Jul 2021 - Jul 2021
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals
Contributions:6 pushes, 4 branches in 25 days
pytorchdefinedmarkerlessdeep-learningpose-estimation
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