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projects

Tools, research, and experiments.

Most of these live at the intersection of biology, AI, and the question: what would it take to actually engineer the immune system?

Receptor diagram placeholderReceptor–ligand diagram, T cell synapse, or logic-gate sketch

Synthetic receptor design

Designing logic-gated receptor systems for T cells that can recognize cancer cells with greater precision and context-awareness.

  • T cells
  • synthetic receptors
  • logic gating
  • cancer recognition
CRISPR-All interface placeholderScreenshot of CRISPR-All interface or DNA editing diagram

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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Cell-state notes placeholderlincRNA notes, T cell dysfunction diagram, or regulatory network sketch

Recognition, sensitivity & cell state

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

  • cancer recognition
  • T cell state
  • noncoding RNA
  • immune dysfunction
Memory T cell placeholderPaper figure or T cell memory diagram

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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Model diagram placeholderModel diagram, code screenshot, or perturbation matrix

AI for biology

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

  • AI
  • biology
  • modeling
Science comm placeholderAnimation still, drawing, or public-facing immunology graphic

Science communication

Making immunology and cancer biology easier to see, explain, and care about.

  • writing
  • visuals
  • public engagement