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about

Cancer immunology, T cells, and editable biology.

I'm Sid. I work across immunology, gene editing, and AI for biology, and I'm most interested in systems that recognize, remember, fail, and repair. This is the longer version.

about

About

I'm Sid. Most of my work circles around cancer immunology, T cells, gene editing, and the problem of making biology more understandable and more editable.

I'm drawn to systems that recognize, remember, fail, repair, and adapt: immune systems, cells, institutions, people, and sometimes software.

Recognition
How T cells sense cancer — specificity, sensitivity, context, and state.
Synthetic receptors
Logic-gated receptors and circuits that shape what a cell can recognize and when it acts.
Gene editing
CRISPR, perturbation design, engineered cells — the editing layer.
Immunology
T cells, memory, exhaustion, and cancer immunology.
AI and tools
Interfaces that make biology easier to reason through.
Writing and philosophy
Uncertainty, selfhood, altruism, medicine, and decision-making.
Outside the lab
Biking, cities, food, and long conversations.
Field-note placeholderDesk, lab notebook, or whiteboard sketch
Something from the work — notebook / desk / whiteboard
Everyday placeholderBike, Toronto street, or campus
Something from outside it — bike / city / campus

history

How the work developed

A path through labs and questions — less a résumé than a record of what I kept following.
  1. 2020–2021First lab

    Princess Margaret / UHN — Harding Lab

    Cancer biology and DNA damage. Where research stopped being an idea and became something I actually did with my hands.

    Princess Margaret / UHN — Harding LabLab bench, microscopy, notebook, or research building
    Princess Margaret / UHN — Harding Lab
  2. 2022–2023Memory T cells

    Salk Institute — Kaech Lab

    Memory T cells, immunology, and cancer prevention — work that became a first-author paper in the Journal of Immunology on memory T cells in cancer immunoprevention.

    Salk Institute — Kaech LabSalk architecture, lab photo, or T cell sketch
    Salk Institute — Kaech Lab
  3. 2024–presentEditing & receptor logic

    Stanford University / Arc Institute — Roth Lab

    CRISPR, T cell engineering, and programmable biology — and the receptor and circuit logic that decides what an engineered cell can sense and do. Still involved.

    Stanford University / Arc Institute — Roth LabCRISPR design interface, whiteboard, or wet-lab setup
    Stanford University / Arc Institute — Roth Lab
  4. 2023–presentRecognition & cell state

    University of Toronto / Princess Margaret — Brooks Lab

    T cell biology and cancer immunology, leaning into immune dysfunction, exhaustion, and cell state (including noncoding RNA / lincRNAs): why cancer recognition holds or breaks down inside tumors.

    University of Toronto / Princess Margaret — Brooks LabT cell biology, lincRNA / noncoding RNA notes, or lab notebook
    University of Toronto / Princess Margaret — Brooks Lab
  5. 2025–presentCurrent direction

    Now

    Working at the interface of recognition and editing — synthetic receptors, CRISPR, cell state, and AI — to make how T cells recognize cancer more precise, more legible, and more editable.

    Current workDesk, notes, code editor, bike, or a T cell recognition sketch
    Now · building