LOGML Summer School

LOGML Summer School

@logml.bsky.social

LOGML (London Geometry and Machine Learning) aims to bring together mathematicians and computer scientists to collaborate on a variety of problems at the intersection of geometry and machine learning.

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Part 1/2: 🚀 Two incredible days at #LOGML2026! ☕ Registration & welcome breakfast 🎤 Inspiring talks 📌 Poster session 🧗 Bouldering social ⚽ Football, food & great conversations It's been amazing to see researchers from around the world exchanging ideas and building collaborations.

Part 2/2: A huge thank you to our speakers, mentors, participants and sponsors. Looking forward to more exciting talks, projects, and social events over the coming days! #MachineLearning #GeometricDeepLearning #SummerSchool

📣 LOGML'26 Speaker Series 🎤 Xiaowen Dong (University of Oxford) His research focuses on signal processing and graph ML, with applications in social, urban, and financial networks 📍 Imperial College London 📅13–17 July 2026 🔗 logml.ai #LOGML #SummerSchool

📣 LOGML'26 Speaker Series 🎤 @PascalWelke (Lancaster University Leipzig, TU Wien) He combines graph mining and graph theory to develop expressive graph representations. 📍Imperial College London 📅13–17 July 2026 🔗 logml.ai #LOGML #SummerSchool #GeometricML

📣 LOGML'26 Speaker Series 🎤 Giovanni Luca Marchetti (KTH) His research spans algebro-geometric aspects of deep neural networks, manifold/representation learning, geometric density estimation, and TDA. 📍 Imperial College London 📅 13–17 July 2026 🔗 logml.ai #LOGML #SummerSchool #TDA #GeometricML

📣 LOGML'26 Speaker Series 🎤 Olga Fink (EPFL, MIT) Combining physics-based models and ML for intelligent systems. Her work spans digital twins, SSL, RL, and multi-agent systems. 📍 Imperial College London 📅 13–17 July 2026 🔗 logml.ai #LOGML #SummerSchool

📣 LOGML'26 Speaker Series 🎤 @StefanieJegelka (MIT, TU Munich) Her research spans algorithmic ML, optimization, robustness, and scalable learning systems, with a strong focus on leveraging mathematical structure in ML 🔗 Apply: lnkd.in/gGnraj83 ⏳ Deadline: 10 May 2026

🚀 Sponsorship & collaboration opportunities for LOGML 2026 are now open! Partner with us for visibility, talent access, and direct engagement with top ML researchers & practitioners. 📩 logml.committee@gmail.com 📝 Sponsorship form in comments #LOGML2026 #MachineLearning

🚀 LOGML26— Mentor applications! 📍 Imperial College London | 13–17 July 2026 Mentor a project team. Attend talks, socials, networking events. 💸 Travel support available. Deadline: 18 March 2026(AoE) Apply: logml.ai/apply.html #LOGML #MachineLearning #SummerSchool

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⭐️Mentor applications open⭐️ We're excited to announce that LOGML summer school will return in London: July 7-11 2025. We are seeking mentors to lead group projects at the intersection of geometry and machine learning. Find out more and apply: logml.ai

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⭐️Mentor applications open⭐️ We're excited to announce that LOGML summer school will return in London: July 7-11 2025. We are seeking mentors to lead group projects at the intersection of geometry and machine learning. Find out more and apply: logml.ai

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