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publications / projects

Papers, tools, and experiments.

Published work and ongoing projects at the intersection of biology, AI, and engineering the immune system to catch cancer earlier and deal with it better.

Publications

    The Journal of Immunology2023Published

    Memory T Cells in the Immunoprevention of Cancer: A Switch from Therapeutic to Prophylactic Approaches

    Siddhesh Mittra, Shane M. Harding, Susan M. Kaech

    First-author review on how memory T cell subsets, especially tissue-resident memory and stem memory T cells, may contribute to cancer immunoprevention.

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    Figure 1, The Journal of Immunology
    bioRxiv2025Preprint

    A unified genetic perturbation language for human cellular programming

    Work on CRISPR-All, a unified genetic perturbation language for designing and combining genetic programs in primary human cells, including T cell engineering contexts.

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    Figure 7, bioRxiv

Projects

CRISPR-All

A tool for designing modular genetic perturbations in T cells. The editing layer of cell engineering.

  • CRISPR
  • gene editing
  • T cells
  • interfaces
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Markers and cell-state readouts

Recognition, sensitivity & cell state

How T cells recognize cancer, and how sensitivity, specificity, and cell state (including the role of noncoding RNA and lncRNAs) shape whether recognition holds or breaks down.

  • cancer recognition
  • T cell state
  • noncoding RNA
  • immune dysfunction
Memory T cell phenotyping readouts

Memory T cells and cancer prevention

Research and writing on how memory T cells may shape cancer immunoprevention.

  • immunology
  • cancer
  • memory T cells
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Working through biology, tools, and models

AI for biology

Using computational tools to reason about perturbations, receptor designs, cell states, and experimental design.

  • AI
  • biology
  • modeling