I'm a principal scientist at Symbolica, building neural networks that process structured data based on the Categorical Deep Learning programme.
I defended my PhD thesis "Fundamental Components of Deep Learning: A category-theoretic approach" in the Mathematically Structured Programming Group at the University of Strathclyde in Glasgow.
My long-term goal is understanding the fundamental principles of intelligence. For a detailed description of my research interests and the philosophy behind them, check out the Research Philosophy page. Most of my programming work can be found on Github. I am also active on Twitter, and I curate a list of papers approaching machine learning from a category-theoretic perspective.
Posts
- My PhD Thesis is out! - March 13, 2024
- Two kinds of Prisms - February 12, 2023
- Graph Convolutional Neural Networks as Parametric CoKleisli morphisms - December 5, 2022
- Optics vs Lenses, Operationally - February 10, 2022
- Lenses to the left of me, Prisms to the right - January 5, 2022
- Meta-learning and Monads - October 13, 2021
- Riding upon the fields on the horse of mathematics - August 15, 2021
- Towards Categorical Foundations of Learning - March 3, 2021
- Dinatural transformations - September 12, 2019
…or you can find more in the archives.