Bao Li
Postdoctoral Research Fellow at Harvard Medical School
Boston, Massachusetts, United States
Summary
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Senior🎓
Top SchoolBao Li is a postdoctoral research fellow at Harvard Medical School with nine years of experience at the intersection of computational pathology, medical image analysis, and biomedical engineering. He develops AI models that predict immune profiles from H&E images and spatial proteomic data, aiming to lower the cost of clinical immunochemistry and improve patient survival. Trained with a PhD in Biomedical Engineering from the University of Science and Technology of China and additional study at UC Riverside, he blends deep technical rigor with practical translational goals. Based in Boston, he maintains an active research presence online and is focused on making spatial-omics–aware imaging tools both accurate and cost-effective for clinical adoption.
9 years of coding experience
Doctor of Philosophy - PhD, Biomedical Engineering, Doctor of Philosophy - PhD, Biomedical Engineering at University of Science and Technology of ChinaUniversity of California, Riverside
Stackoverflow
123reputation
24kreached
4answers
6questions
Github Skills (74)
generative10
image-synthesis10
dcgan10
generative-adversarial-network10
deep-learning9
pytorch9
object-detection8
faster-rcnn8
graph-convolutional-networks8
vision-transformer8
proxy8
benchmark8
toolbox8
keras8
responsive8
Programming languages (5)
Github contributions (5)
Boyden/boyden
Dec 2016 - Nov 2019
Contributions:2 PRs, 36 pushes, 3 branches in 2 years 11 months
boyden/NuHTC
Oct 2022 - Nov 2022
NuHTC: A Hybrid Task Cascade for Nuclei Instance Segmentation and Classification
Contributions:11 commits, 1 PR, 29 pushes in 14 days
segmentationcascadehybrid-task-cascadehybridinstance-segmentation
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