
London Geometry and Machine Learning, 13-17 July 2026. Tutorial sessions and talks by prominent researchers in the field of #geometric #machinelearning
London, UK
Joined May 2020
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π What a way to wrap up #LOGML26!
The second half of the week was filled with inspiring talks from:
π€ Giovanni Luca Marchetti
π€ Nicholas Sharp
π€ Stefanie Jegelka
π€ Δ°smail Δ°lkan Ceylan
π€ Olga Fink
Part 2/3: Alongside mentor-led project sessions, participants worked throughout the week before presenting their projects on the final day.
Beyond the research, we shared some fantastic moments together:
π’ Company Night
π½οΈ LOGML Social Dinner
πΏ Afternoon Picnic
Part 3/3: We concluded LOGML'26 with project presentations and awards for: Best Project , Best Poster, Best Photo
Thank you to every participant, mentor, speaker, sponsor, and organizer for making this such a memorable week
#MachineLearning #GeometricDeepLearning #SummerSchool
π Two incredible days at #LOGML2026!
β Registration & welcome breakfast
π€ Inspiring talks
π Poster session
π§ Bouldering social
β½ 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!
@PascalWelke @SoledadVillar5 @epomqo @DorinaThanou
#MachineLearning #GeometricDeepLearning #SummerSchool
π£ LOGML'26 Speaker Series
π€ Xiaowen Dong @epomqo (University of Oxford)
His research focuses on signal processing and graph ML, with applications in social, urban, financial networks
π Imperial College London
π
13β17 July 2026
π logml.ai/
#LOGML #SummerSchool
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
π£ LOGML'26 Speaker Series
π€ Giovanni Luca Marchetti @giovannimarchet (KTH)
His research spans algebro-geometric aspects of deep networks, manifold/representation learning, TDA.
π Imperial College London
π
13β17 July 2026
π logml.ai
#LOGML #SummerSchool #TDA
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 @SoledadVillar5 (Johns Hopkins)
Her research spans equivariant ML, GNNs, with applications to computational biology.
π Imperial College London
π
13β17 July 2026
π logml.ai/
#LOGML #GraphML #GeometricDeepLearning
π£ LOGML'26 Speaker Series
π€ Nicholas Sharp @nmwsharp (NVIDIA)
Researcher in geometry processing, computer graphics/vision & 3D ML.
π Imperial College London
π
13β17 July 2026
π logml.ai/
#LOGML #Summerschool #MachineLearning
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/RjxJHCdKVJF41Vvv7
#LOGML #MachineLearning #SummerSchool
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€ Made with AI
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/RjxJHCdKVJF41Vvv7
β³ Deadline: 10 May 2026
#LOGML #Geometry #MachineLearning #GraphML
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/RjxJHCdKVJF41Vvv7
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/RjxJHCdKVJF41Vvv7
β³ Deadline: 1 May 2026
π£ Participant Applications Open: LOGMLβ26, Imperial College London (13β17 July)
A week on geometry/topology + ML talks, tutorials, projects & networking.
π©βπ Students/PhD/Postdocs
π° Limited fee waivers & travel support
π Deadline: 1 May 2026
π Apply: forms.gle/RjxJHCdKVJF41Vvv7
π Sponsorship & collaboration opportunities for LOGML 2026 are now open!
Partner with us for visibility, talent access, and direct engagement with top ML researchers & practitioners.
π© [email protected]
π Sponsorship form in comments
#LOGML2026 #MachineLearning
LOGML 2026 mentor applications are still open!
Deadline extended to 22 March 2026(AoE).
Mentor a small team at Imperial College London during 13β17 July'26.
Travel/accommodation support available.
π logml.ai/apply.html
#LOGML #GeometricDeepLearning #GraphML #MachineLearning










