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  • Fayetteville, Arkansas

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ckirby04/README.md

Clark Kirby

CS undergrad at the University of Arkansas (B.S. expected May 2027), working on deep learning for 3D medical image segmentation.

Most of my time goes to brain metastasis segmentation — ensemble architectures over nnU-Net and SwinUNETR backbones, with a focus on small-lesion performance. I presented this work at the UAMS Radiology Research Symposium in April 2026.

Currently: running ANP, a pre-registered study of dynamic sparse training in 3D segmentation — testing whether a network reallocates capacity across layers better than nnU-Net auto-configures it. Writing up the metastasis segmentation results as a preprint.

Also: AlloScan (single-cell transcriptomics for renal allograft rejection), SwingScan (pose estimation), Nemesis (poker EV simulation).

Software engineering intern at Walmart Global Tech.

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  1. ANP ANP Public

    Pre-registered study of dynamic sparse training in 3D medical segmentation (nnU-Net, BraTS-MEN). v1 pilot void by a design error found after it ran; v2 gates proposed and not in effect, no v2 arm r…

    Python

  2. AlloScan AlloScan Public

    Single-cell transcriptomics + TCR-seq AI platform for renal allograft rejection. Five integrated applications: rejection classifier, clonotype expansion detector, urine-based monitor, RAG immunosup…

    Python

  3. Nemesis Nemesis Public

    Exploitative poker EV simulator. Models per-seat opponent tendencies from user-described table dynamics, computes EV across strategy lines, and visualizes resulting range maps. Retrieval-augmented …

    Python

  4. SwingScan SwingScan Public

    Video-in, coaching-out. MediaPipe pose + vendored SwingNet phase segmentation + GolfDB pro reference bank + coach-voice feedback rules. Local-only Gradio demo.

    Python 1