İsmail İlkan Ceylan (@ismaililkanc) 's Twitter Profile
İsmail İlkan Ceylan

@ismaililkanc

Lecturer @UniofOxford | Research on #AI & #ML

ID: 1709209012145688577

linkhttps://www.cs.ox.ac.uk/people/ismaililkan.ceylan/ calendar_today03-10-2023 14:09:25

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Kieran Didi (@didikieran) 's Twitter Profile Photo

Check out La-Proteina, our new model for all-atom structure generation at scale! Was a very fun project to work on with Tomas Geffner and the rest of the team. Two things I am particularly excited about in 🧵 1/n

İsmail İlkan Ceylan (@ismaililkanc) 's Twitter Profile Photo

Life is exciting again. I kept complaining NeurIPS was always in North America… and they finally listened. Now there are two locations — both in North America! Truly a plot twist worthy of a NeurIPS paper.

koray kavukcuoglu (@koraykv) 's Twitter Profile Photo

Advanced version of Gemini Deep Think (announced at #GoogleIO) using parallel inference time computation achieved gold-medal performance at IMO, solving 5/6 problems with rigorous proofs as verified by official IMO judges! Congrats to all involved! deepmind.google/discover/blog/…

Michael Bronstein @ICLR2025 🇸🇬 (@mmbronstein) 's Twitter Profile Photo

Apply for the AITHYRA-CeMM International PhD Program! 15-20 fully funded PhD fellowships available in Vienna in AI/ML and Life Sciences Deadline for applications: 10 September 2025 apply.cemm.at

Apply for the AITHYRA-CeMM International PhD Program! 

15-20 fully funded PhD fellowships available in Vienna in AI/ML and Life Sciences
 
Deadline for applications: 10 September 2025

apply.cemm.at
İsmail İlkan Ceylan (@ismaililkanc) 's Twitter Profile Photo

I’m happy to share that I’m starting a new position as Adjunct PI at AITHYRA Research Institute for Biomedical Artificial Intelligence! Excited to contribute to cutting-edge research at the intersection of AI and biomedicine. 🧠🤖 #AI #BiomedicalResearch #AITHYRA #Vienna

İsmail İlkan Ceylan (@ismaililkanc) 's Twitter Profile Photo

🚨 Job Alert: We're hiring a Postdoc in Geometric Deep Learning & AI for Science! Join me & Michael Bronstein in an exciting collaboration between AITHYRA and TU Wien. Apply now 👉 aithyra.onlyfy.jobs/job/ltt3a9j6 #AIforScience #GeometricDeepLearning #Postdoc #AITHYRA #TUWien

İsmail İlkan Ceylan (@ismaililkanc) 's Twitter Profile Photo

Thrilled to share that I’ll be joining TU Vienna as CS Faculty! Excited to teach, research, and collaborate in this inspiring community — all while continuing to supervise my talented students at Oxford. Looking forward to this adventure! #TUVienna #AITHYRA #UniversityOfOxford

İsmail İlkan Ceylan (@ismaililkanc) 's Twitter Profile Photo

🔬 Interested in AI4Science? 📢 2 Funded PhD positions at TU Wien in Learning on Graphs & Geometry with AITHYRA! 🗓 Apply by Sept 4, 2025 📍 Vienna, Austria 🔗 jobs.tuwien.ac.at/Job/256399 #PhD #AI4Science #MachineLearning #GeometricDeepLearning #TUWien #AITHYRA

Alex Tong (@alexandertong7) 's Twitter Profile Photo

Thrilled to announce I'm starting as a Principal Investigator at #Aithyra in Vienna! We'll be developing generative models to understand cell biology and design proteins. I'm hiring PhDs, Postdocs, & Visiting Researchers! PhD applications by Sept 10: apply.cemm.at

Michael Galkin (@michael_galkin) 's Twitter Profile Photo

📣 Our team is hiring (research scientist and SWE roles) - perhaps the best place where you can blend graph learning experience with the most advanced AI research :) Application link and all the downsides of our job: linkedin.com/feed/update/ur… Drop me a CV in PMs too

Jinwoo Kim (@jw9730) 's Twitter Profile Photo

New preprint: Flock, a foundation model for link predictions on knowledge graphs that zero-shot generalizes to novel entities and relations. Instead of message passing, Flock operates on anonymized random walks, processed by sequence neural nets. Paper: arxiv.org/abs/2510.01510

New preprint: Flock, a foundation model for link predictions on knowledge graphs that zero-shot generalizes to novel entities and relations.

Instead of message passing, Flock operates on anonymized random walks, processed by sequence neural nets.

Paper: arxiv.org/abs/2510.01510
İsmail İlkan Ceylan (@ismaililkanc) 's Twitter Profile Photo

Very excited to share this! We introduce a new approach to knowledge graph foundation models built on probabilistic equivariance. The model is simple, expressive, and probabilistically equivariant — and it works remarkably well! Collaboration led by Jinwoo Kim and Xingyue Huang.