Jeffrey Watchorn
PhD Chemical Engineering | Staff Research Scientist | Acceleration Consortium
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
- Mechanistic influence of polymer species, molecular weight, and functionalization on mucin–polymer binding interactionsACS Applied Polymer Materials, 2022
- An interpretable machine learning framework for modelling macromolecular interaction mechanisms with nuclear magnetic resonanceDigital Discovery, 2023
- dZiner: Rational Inverse Design of Materials with AI AgentsNeurIPS 2024, AI4Mat Workshop, 2024