Xiaoling Hu
Research Fellow at Harvard Medical School and Massachusetts General Hospital
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolXiaoling Hu is a research-focused computer vision and machine learning scientist with eight years of experience, currently a Postdoctoral Research Fellow at Massachusetts General Hospital and Harvard Medical School. She holds a PhD in Computer Science from Stony Brook and brings a strong academic foundation from Tsinghua and Huazhong University in electrical and electronics engineering. Her background blends biomedical imaging research and industry-focused internships at Allen Institute, United Imaging, and Tencent Youtu Lab, giving her experience translating cutting-edge vision methods into practical tools. Known for bridging rigorous research with applied development, she often works at the intersection of clinical imaging and machine learning model innovation. Colleagues describe her as a methodical problem-solver who moves smoothly between hypothesis-driven experiments and building reproducible code for real-world healthcare settings.
9 years of coding experience
Bachelor’s Degree, Electrical and Electronics Engineering, Bachelor’s Degree, Electrical and Electronics Engineering at Huazhong University of Science and TechnologyMaster's degree, Electrical, Electronics and Communications Engineering, Master's degree, Electrical, Electronics and Communications Engineering at Tsinghua UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stony Brook University
Github Skills (24)
topology10
topological-data-analysis10
image-segmentation10
plug-and-play10
loss9
3d8
segmentation8
uncertainty-quantification8
image-analysis6
representation-learning6
image-synthesis6
image-classification4
brain-imaging4
probabilistic-models4
classification3
Programming languages (3)
Github contributions (5)
HuXiaoling/huxiaoling.github.io
Aug 2023 - Jul 2026
Contributions:301 pushes, 1 branch in 2 years 11 months
HuXiaoling/DMT_loss
Jun 2021 - May 2022
DMT codes for the ICLR 2021 paper: Topology-Aware Segmentation Using Discrete Morse Theory
Contributions:19 commits, 4 PRs, 44 pushes in 10 months
segmentationdifferentiableimage-segmentationtopological-data-analysistopology
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