I'm 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.

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