Bao Li

Postdoctoral Research Fellow at Harvard Medical School

Boston, Massachusetts, United States
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Summary

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Bao 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.
code10 years of coding experience
bookDoctor of Philosophy - PhD, Biomedical Engineering, Doctor of Philosophy - PhD, Biomedical Engineering at University of Science and Technology of China
bookUniversity of California, Riverside
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Stackoverflow

Stats
123reputation
24kreached
4answers
6questions
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Github Skills (65)

nuclei-detection10
pytorch10
generative-adversarial-network10
object-detection8
longtext8
vision-transformer8
proxy8
responsive8
graph-neural-network8
threejs7
graph-convolutional-networks7
faster-rcnn7
openmmlab7
csharp7
geometric-deep-learning7

Programming languages (6)

C#C++SCSSJavaScriptJupyter NotebookPython

Github contributions (5)

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boyden/NuHTC

Oct 2022 - Nov 2022

NuHTC: A Hybrid Task Cascade for Nuclei Instance Segmentation and Classification
Contributions:1 review, 11 commits, 7 PRs in 14 days
classificationinstance-segmentationcomputational-pathologynuclei-detectionnuclei-segmentation
Boyden/boyden

Dec 2016 - Nov 2019

Contributions:2 PRs, 36 pushes, 3 branches in 2 years 11 months
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