Yue Zhou
Associate Professor
Shanghai, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolYue Zhou is an associate professor at Shanghai Jiao Tong University and the Med-X Institute with a decade of experience at the intersection of biomedical research and computational methods. Trained as a PhD in Biochemistry & Bioinformatics, she leads retinal injury and repair projects using biomaterials and neurotrophic strategies while teaching cell biology. Complementing her lab work, she is an active open-source contributor to OpenMMLab projects (mmcv, mmrotate, mmdetection), where she implemented high-performance CUDA kernels and core rotated-object-detection features—bringing GPU-optimized computer vision expertise into biomedical contexts. Her profile uniquely blends wet-lab neuroscience, bioinformatics, and hands-on systems-level ML engineering, enabling translational research that leverages scalable code and efficient model training.
10 years of coding experience
BS, Microbiology, BS, Microbiology at Fudan UniversityDoctor of Philosophy (PhD), Biochemistry & Bioinformatics, Doctor of Philosophy (PhD), Biochemistry & Bioinformatics at University of Massachusetts at Lowell
Github Skills (15)
cuda10
object-detection10
detector10
computer-vision10
pytorch10
debug10
c-language10
detectors10
cprogramming-language10
python10
sd-mmc10
image-processing9
distributed-training9
deep-learning9
resnet7
Programming languages (8)
Github contributions (5)
open-mmlab/mmrotate
Feb 2022 - Jan 2023
OpenMMLab Rotated Object Detection Toolbox and Benchmark
Role in this project:
ML Engineer
ML EngineerContributions:3 releases, 182 reviews, 93 commits in 10 months
Contributions summary:Yue primarily contributed to the core components of the mmrotate library, focusing on rotated object detection functionalities. Their commits involved significant code additions to core modules like `transforms.py` and the implementation and debugging of different bounding box representations. They also addressed evaluation bugs, added support for fp16 models, and provided a Colab tutorial.
pytorchdetectiontoolboxefficientnetobject-detection
open-mmlab/mmdetection
Jul 2020 - Dec 2022
OpenMMLab Detection Toolbox and Benchmark
Role in this project:Back-end Developer
Back-end DeveloperContributions:62 reviews, 30 commits, 31 PRs in 2 years 5 months
Contributions summary:Yue primarily contributed to bug fixes and enhancements within the codebase. Their work included addressing issues in the dense heads, specifically in the `anchor_head.py`, `atss_head.py`, and `gfl_head.py` files, and enhancing the robustness of the `analyze_logs.py` script. Furthermore, they added support for multi-machine distributed training, reflecting a focus on improving training infrastructure. They also implemented new transforms and added related dataset functionalities.
retinanetbenchmarkfast-rcnnopenmmlabsemisupervised-learning
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