Chuang Niu
Research Scientist, Associate Lab Director
City of Troy, New York, United States
Summary
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Senior🎓
Top SchoolChuang Niu is a research scientist and associate lab director with over a decade of AI experience and a four-year focus on medical applications, currently leading development of multimodal multitask foundation models for lung cancer screening at Rensselaer. He combines deep expertise in large-scale model training on supercomputing clusters, self- and weakly-supervised learning, and medical CT imaging to deliver state-of-the-art performance across 17 clinical tasks in the novel M3FM system. Comfortable bridging academia, clinical partners, industry, and regulators (including FDA collaborators), he routinely operationalizes cutting-edge research into clinically relevant tools. Trained as a Ph.D. computer scientist with biomedical engineering roots, Chuang uniquely blends algorithmic rigor with domain knowledge in medical imaging and healthcare LLMs.
11 years of coding experience
5 years of employment as a software developer
Ph.D., Computer Science, Ph.D., Computer Science at Xidian UniversityVisiting Student, Biomedical Engineering, Visiting Student, Biomedical Engineering at Rensselaer Polytechnic Institute
Github Skills (23)
glip10
pytorch10
python10
openmmlab10
denoising10
mask-rcnn10
instance-segmentation10
vision-transformer10
retinanet10
swin-transformer10
object-detection10
faster-rcnn10
kubernetes9
deep-learning9
transformer9
Programming languages (4)
Github contributions (5)
niuchuangnn/noise2sim
Jan 2021 - Jan 2022
Noise2Sim is a general unsupervised deep denoising method.
Contributions:36 commits, 2 PRs, 34 pushes in 11 months
denoisingpytorchdeep-learning
niuchuangnn/aurora-maskrcnn
Dec 2018 - Mar 2021
Contributions:28 commits, 22 pushes, 1 branch in 2 years 3 months
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