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.
LOGML Summer School
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π£ LOGML'26 Speaker Series
π€ Giovanni Luca Marchetti (KTH)
His research spans algebro-geometric aspects of deep neural networks, manifold/representation learning, geometric density estimation, and TDA.
π Imperial College London
π 13β17 July 2026
π logml.ai
#LOGML #SummerSchool #TDA #GeometricML
π£ Deadline Extended β LOGML'26
Due to ICLR conference & NeurIPS deadlines, applications are now open till 10 May'26.
π LOGML @ Imperial College London
π 13β17 July'26
π Talks
π€ Projects
π§ Collaboration
π Networking
π Apply: forms.gle/RjxJHCdKVJF4...
π£ LOGML 26 Speaker Series
π€ Ismail Ilkan Ceylan
(TU Vienna, AITHYRA, University of Oxford)
His research lies at the intersection of logic, graph theory, and ML, with a focus on geometric DL and relational reasoning .
π Apply: forms.gle/RjxJHCdKVJF4...
β³ Deadline: 1 May 2026
π£ LOGML'26 Speaker Series
π€ Olga Fink (EPFL, MIT)
Combining physics-based models and ML for intelligent systems. Her work spans digital twins, SSL, RL, and multi-agent systems.
π Imperial College London
π 13β17 July 2026
π logml.ai
#LOGML #SummerSchool
π£ LOGML'26 Speaker Series
π€ Soledad Villar @soledadvillar.bsky.social (Johns Hopkins)
Her research spans equivariant ML, GNNs, with applications to computational biology.
π Imperial College London
π 13β17 July 2026
π www.logml.ai
#LOGML #GraphML #GeometricDeepLearning #SummerSchool
π£ LOGML'26 Speaker Series
π€ Nicholas Sharp @nmwsharp.bsky.social (NVIDIA)
Researcher in geometry processing, computer graphics/vision & 3D ML β building methods for geometric computing.
π Imperial College London
π 13β17 July 2026
Website: π www.logml.ai/
#LOGML #Summerschool #MachineLearning
π£ LOGML'26 Speaker Series
π€ @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
π Apply: lnkd.in/gGnraj83
β³ Deadline: 10 May 2026
π¨ Final call: LOGML'26 applications close in a few hours!
Spend your summer at Imperial College London exploring Geometry & ML through talks, tutorials, projects, socials, and networking
π 13β17 July 2026
π Apply: forms.gle/RjxJHCdKVJF4...
#LOGML #MachineLearning #SummerSchool
π£ LOGML 2026 Speaker Series
π€ Dorina Thanou (EPFL)
Works on graph signal processing and ML, focusing on interpretable, robust models for biomedicine and AI for health.
π Apply: forms.gle/RjxJHCdKVJF4...
π Explore speakers: www.logml.ai/speakers/
β³ Deadline: 10 May 2026
#LOGML #Geometry #GraphML
π£ LOGML'26 Speaker Series
π€ @PascalWelke (Lancaster University Leipzig, TU Wien)
He combines graph mining and graph theory to develop expressive graph representations.
πImperial College London
π 13β17 July 2026
π logml.ai
#LOGML #SummerSchool #GeometricML