New preprint "The Topological Properties of the Protein Universe". Work carried on by PhD student Christian Degnbol Madsen, and with @syzmath, Michael P.H. Stumpf Douglas Pires and others biorxiv.org/content/10.110…

Very excited for the return of LOGML next year – 2022 was amazing. Strongly encourage all those interested in mentoring to apply, especially those in the applied topology and topological deep learning communities!

Want to mentor for a project at the interface of geometry and machine learning? Mentor applications close November 17th. Find out more at logml.ai and apply: forms.gle/HaHrY6JYpqn4UU…

Our work on using algebraic topology for interpreting neural population activity has been featured as an NSF Math Institutes research highlight from ICERM @chadgiusti prof-g ICERM mathinstitutes.org/highlights/int…

🌟Applications open - LOGML 2024🌟 👥 Mentor-led projects, expert talks, tutorials, socials, and a networking night 📝 Application form: logml.ai 📅 Apply by 26 Jan 2024 📝 📩 Questions? [email protected] #LOGML #Geometry #MachineLearning #SummerSchool

Thanks Otto Sumray for a very entertaining talk on quiver laplacians and applications 🎶

Amazing to see this paper finally published! Adam Hampshire Imperial MRC DTP

I had a great time presenting our research on spatial transcriptomics and topological data analysis today! Incredibly honoured to have been chosen as a medallist #STEM4Brit

This is going to be super interesting! Hear about how mathematical topology can shed light on actual mecahnisms going on in our immune cells! Sign up for this free online webinar as part of our CHIMERA programme . Fri 26 April, 10-11am

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

So excited to see this 59 authors collaboration finally out! Kudos to Luca Tubiana @[email protected] for leading and coordinating this years long project EutopiaCOST

Wonderful week of rainbows, maths and manuscripts! Chromatic work by Abhinav Natarajan Thomas Chaplin Maria Jose Jimenez 🦋 Adam Brown Toric fibre products and MLE by Niharika Paul Jane Ivy Coons TU Dresden Oxford Mathematics arxiv.org/abs/2405.19303 arxiv.org/abs/2405.13897

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!

When a team at Nuffield Department of Medicine wanted to know more about cells they were studying as part of research in to kidney disease, they found perfect partners in Oxford Mathematics & MPI-CBG Dresden. Read about Katherine Bull Heather Harrington Katherine Benjamin & colleagues' collaboration: maths.ox.ac.uk/node/68470

This was a lot of work! ProCyon is a model that integrates protein sequences, structures, and natural language to predict and generate protein phenotypes Check the paper biorxiv.org/content/10.110… Imperial Medicine King's College London Imperial MRC DTP Institute of Psychiatry, Psychology & Neuroscience Imperial College London