I’m thrilled to announce that I will be joining the UNITES Lab under Tianlong Chen as a postdoc in the UNC Chapel Hill CS Department starting in early 2026. My research will focus on multimodal and agentic AI for healthcare and AI for science (protein LMs and genomic LMs)!

FID has many limitations when applied to medical images (e.g., misalignment with downstream tasks). Introducing the Fréchet Radiomic Distance (FRD): a metric designed from the ground up for better characterizing medical images, led by me and Richard Osuala! Code/paper: github.com/RichardObi/f...

Introducing SLM-SAM 2, led by Yuwen Chen: a new video object segmentation method for medical imaging that speeds up annotation by accurately propagating labels from a single slice across the whole volume. [Code: github.com/mazurowski-l..., paper: www.arxiv.org/abs/2505.01854 ]. More info next:

Excited to share my NeurIPS SciForDL paper on how hidden repr. intrinsic dimension evolves through model depth! openreview.net/forum?id=trc...
A surprising finding: the peak intrinsic dim. is ~a constant fraction of the input data’s intrinsic dim., across diverse datasets + models! (1/3)

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Picking the right explainable AI method for your computer vision task? Wondering about its evaluation reliability?

🎯 Then you might be interested in our latest #neurips2024 publication on LATEC, a (meta-)evaluation benchmark for XAI methods and metrics!

📄 arxiv.org/abs/2409.16756
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