Katherine Titterton

Scientist-engineer and technical storyteller in neuroscience, imaging and AI

Neuroscientist-engineer at the seam of imaging, signal extraction and ML. Follows a hard question until the tool that answers it works, then makes the case with numbers and a story. Eight years across academia, pharma and ML-first biotech, with a wide view of science and its biases. Self-taught coder before AI could code; now builds with agentic coding. Prefers the work to the credit.

Experience [n] = publication number on page 2

Axiom Bio Founding Member of the Technical Staff
San Francisco, CA2023–2026

Nat Commun 2026 [4] Cell Syst 2026 [3]

Insitro Associate Scientist III, Arrayed Screening
South SF, CA2022–2023
MIT Technical Associate II, Synthetic Neurobiology Group
Cambridge, MA2021–2022

Nat Commun 2024 [6]

AbbVie Associate Scientist II, Foundational Neuroscience Center
Cambridge, MA2018–2021

Mol Neurodegener Adv 2026 [1] iScience 2026 [2] J Biol Chem 2025 [5] iScience 2022 [7]

Massachusetts General Hospital Research Technician I
Boston, MA2017–2018

Eur J Med Chem 2019 [8]

Independent work questions explored with AI agents

Datum Line Designing my ideal AI × bio startup: controls alone name the lab, 99.9%
2026
Overdose Watch Public overdose tracker a weekly Claude Code agent keeps current
2026
Vanitas / Veritas AI slop as vanitas: 4K open-source diffusion loop, interactive piece
2026
claude-code-learns Can an agent keep what it learns? Corrections become skills
2026
OpenTronsformers LLM copilot for the OT-2 lab robot; 2nd place, BioHack NYC
2023

Education

Colgate University B.A. Cellular Neuroscience, minor Mathematical Systems Biology
2013–2017
Harvard Extension School Graduate coursework in Python and computer vision
2019–2020

Skills

ML & data: PyTorch, U-Net segmentation, feature engineering, Python, R, agentic coding (Claude Code)

Lab & imaging: confocal, high-content and expansion microscopy, voltage clamp, iPSC neurons, HT screening

Story & design: data visualization, figure and pitch-deck design, generative art (Midjourney, diffusion)

Katherine Titterton Publications

updated Oct 2026
ORCID 0009-0008-3579-1793kattitterton@gmail.comfull author lists in CV

Peer-reviewed publications 8 papers, newest first

  1. Yanamandra K, …, Titterton K, …, Langlois X. Conformation-specific anti-pathological tau antibody raised against AD brain-derived seed-competent tau reduces tau pathology in transgenic mice. Mol Neurodegener Adv. 2026;2(1):43. doi:10.1186/s44477-026-00049-6 AbbVie
  2. Sebastian RM, …, Titterton K, …, Wu JW. SynCAR platform for capturing neuronal synaptic proteopathic seeds. iScience. 2026;29(7):116362. doi:10.1016/j.isci.2026.116362 AbbVie
  3. Ewald JD, Titterton KL, …, Singh S. Cell Painting for cytotoxicity and mode-of-action analysis in primary human hepatocytes. Cell Syst. 2026;17(5):101566. doi:10.1016/j.cels.2026.101566 Axiom Bio
  4. Seal S, …, Titterton K, …, Carpenter AE. Counting cells can accurately predict small-molecule bioactivity benchmarks. Nat Commun. 2026;17(1). doi:10.1038/s41467-026-68725-5 Axiom Bio featured on axi.om
  5. Wu JW, Titterton K, …, Langlois X. Development of a robust, physiologically relevant neuronal tau aggregation assay for tau-related drug discovery. J Biol Chem. 2025;301(12):110853. doi:10.1016/j.jbc.2025.110853 AbbVie
  6. Kang J, …, Titterton K, …, Boyden ES. Multiplexed expansion revealing for imaging multiprotein nanostructures in healthy and diseased brain. Nat Commun. 2024;15(1):9722. doi:10.1038/s41467-024-53729-w MIT
  7. Manos JD, …, Titterton K, …, Langlois X. Uncovering specificity of endogenous TAU aggregation in a human iPSC-neuron TAU seeding model. iScience. 2022;25(1):103658. doi:10.1016/j.isci.2021.103658 AbbVie
  8. Wu B, …, Titterton K, …, Bruzik KS. Inhibitable photolabeling by neurosteroid diazirine analog in the β3-subunit of human heteropentameric type A GABA receptors. Eur J Med Chem. 2019;162:810-824. doi:10.1016/j.ejmech.2018.11.019 MGH

Selected conference presentations & posters

  1. Titterton K. Using AI to Combine Exposure, Metabolism, and Liver Function to Model DILI in Modern Molecules. Recorded talk, Axiom Bio. video
  2. Titterton K, Boiko D, Cabrera ÁA, Bäuerle A, Tyagi A, Saneinejad S, Beatson A, White B. Accurate and interpretable in silico clinical risk assessment for drug-induced liver injury (DILI) from molecular structure. Society of Toxicology Annual Meeting, 2025. poster
  3. Titterton K, et al. Development of a tau propagation neuronal microfluidic cell culture model for assessing inhibitors of tau propagation. Society for Neuroscience Global Connectome, 2021. poster
  4. Titterton K, et al. High content analysis of tau aggregation in primary neurons: screening anti-tau antibodies and modeling tauopathy progression in vitro. SBI2 High Content Meeting, Harvard Medical School, 2019. poster
Katherine (Kat) Titterton, publicationspage 2 of 2