π LOGML26β Mentor applications!
π Imperial College London | 13β17 July 2026
Mentor a project team. Attend talks, socials, networking events. πΈ Travel support available.
Deadline: 18 March 2026(AoE)
Apply: https://t.co/LnuzLuFBc2
#LOGML#MachineLearning#SummerSchool
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 https://t.co/2WYLPVKt38
#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 https://t.co/iB0VitexDD
#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 https://t.co/Snsfc6eiA5
#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: https://t.co/bfynGCiD86
#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: https://t.co/acRjNthJKA
β³ Deadline: 10 May 2026
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: https://t.co/bfynGCiD86
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: https://t.co/bfynGCiD86
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: https://t.co/bfynGCi5iy
β³ Deadline: 1 May 2026
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 https://t.co/LnuzLuFBc2
#LOGML#GeometricDeepLearning#GraphML#MachineLearning
Very grateful to the @LogmlSchool organizers, speakers, mentors, and fellow participants for the amazing week! Special thanks to my "Topological data analysis to elucidate protein functions" project groupmates and our mentor @oq_35. Hope to share some interesting results soon!
I had a blast at the @LogmlSchool! Not only did the students write some insanely fast CUDA kernels, but we also scaled to MUCH higher input dimensions. How? By replacing a hypercube with a simplex!
Months of planning, and it's over in a flash! Seeing #LOGML come to life with such a fantastic group was worth every bit of effort. The collaborative spirit during the projects was exactly what we hoped for. Immense gratitude to all who came and made the week a huge success. π
Had a fantastic time mentoring the Topological ML for Brain Dynamics group at LOGML 2025! Grateful for the opportunity to work with such talented and motivated cohort - looking forward to continuing our collaboration and pushing toward a paper!! π
And that's a wrap on the LOGML 2025 Summer School! π
Weβve been quiet on here, but thatβs because we were busy with 100 brilliant minds diving deep into geometry, ML, and social activities. π