PhD student at @UniofOxford

Joined July 2022
Arguably one of the least utilised but most powerful features of persistent homology (PH) is functoriality. Large swathes of data come pre-divided into distinguished, disjoint subsets (a priori/via clustering). A functorial PH pipeline lets us analyse how these subsets interact!
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Otto Sumray retweeted
Really pleased to finally share my preprint: Diffusion Geometry (1/4) Diffusion geometry defines Riemannian geometry for data and probability spaces! arxiv.org/abs/2405.10858
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Otto Sumray retweeted
Baby #2 is due any day now, and I am too wired to do the intelligent thing (i.e., sleep). So please join me, the wonderful @osumray, and @haharrington on a journey through some fun machine learning & representation theory. 1/11
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Starting a new TDA project? Need persistent homology on cubical complexes and a custom filtration in C++? Or just a Rips filtration but in parallel and using Python? Wading through all those repos giving you a headache? 1/3
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If you're in need to find points nearby, But afraid that your computer will fry, Don't be a fool! Use the right tool! A ball tree is the right guy.
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I'm very excited to announce that our latest pre-print just went up on the arxiv, joint work with @haharrington and Ulrike Tillmann. Grounded persistent path homology: a stable, topological descriptor for weighted digraphs arxiv.org/abs/2210.11274
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🚨 New pub out at @Entropy_MDPI, developing topology-informed methods to identify interesting gene expression patterns in scRNA-seq datasets. Fun @OxUniMaths x @Ludwig_Cancer Oxford collab led by Renee Hoekzema, Lewis Marsh, @osumray, Helen Byrne, and @haharrington. Quick 🧵:
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