Jeffrey Watchorn

PhD Chemical Engineering | Staff Research Scientist | Acceleration Consortium

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Hey! Thanks for checking out my website.

I am currently a research scientist with the University of Toronto’s Acceleration Consortium, working to accelerate materials discovery by combining machine learning with laboratory automation to create self driving labs. At present my focus is on formulations science, where I develop custom automation and machine learning models for a diversity of materials, everything from pharmaceuticals and cosmetics to concrete.

Aside from working, I love learning new skills and trying new things. I am an avid trivia man over at learnedleague, I run a weekly dungeons and dragons campaign, as well as a men’s league hockey team (2x Champions).

Sometimes I climb mountains!

selected publications

  1. disco-mech.gif
    Mechanistic influence of polymer species, molecular weight, and functionalization on mucin–polymer binding interactions
    Jeffrey Watchorn*, Samantha Stuart*, Darcy C Burns, and Frank X Gu
    ACS Applied Polymer Materials, 2022
  2. disco-ml.gif
    An interpretable machine learning framework for modelling macromolecular interaction mechanisms with nuclear magnetic resonance
    Samantha Stuart*Jeffrey Watchorn*, and Frank X Gu
    Digital Discovery, 2023
  3. ansari_preview.png
    dZiner: Rational Inverse Design of Materials with AI Agents
    Mehrad Ansari, Jeffrey Watchorn, Carla E Brown, and Joseph S Brown
    NeurIPS 2024, AI4Mat Workshop, 2024