Sakib Mostafa
Building interpretable AI for cancer detection, liquid biopsy, and multi-omics integration.
I develop deep learning frameworks that translate biological signals — cfRNA, multi-omics, networks — into images so vision foundation models can see them. My current work spans liquid biopsy for early cancer detection, multimodal AI for imaging-genomics integration, and graph foundation models for biological networks.
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Manuscripts under review
Nature, Nat Biomed Eng, Nat Comp Sci
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Peer-reviewed publications
+ 1 book chapter · 425+ citations
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Patents filed (Stanford OTL)
Graph foundation models · Tabular-to-image
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Years teaching & mentoring
7 TAships · 7 trainees supervised