David M. Knigge
PhD candidate at UvA in continuous signal modelling, geometric deep learning and dynamics.
@ipsit.bsky.social
Looking for a PhD Position in Topological Deep Learning | Ex Sony AI | Purdue | IIT Bombay ipsitmantri.github.io
@jacobbam.bsky.social
ML PhD student at University of Oxford. Interested in Geometric Deep Learning
@jobrandstetter.bsky.social
Co-Founder & Chief Scientist @ Emmi AI. Ass. Prof / Group Lead @jkulinz. Former MSFTResearch, UvA_Amsterdam, CERN, TU_Wien
@rohangorantla.bsky.social
Developing ML methods for Drug Discovery @ Novartis 🧬💻 | prev: PhD student @ University of Edinburgh with Toni Mey
@joeybose.bsky.social
Post-doc @UniofOxford w/ @mmbronstein.bsky.social. Into Geometry ∩ Generative Models. @mila-quebec.bsky.social Affiliate member. Phd from @mila-quebec.bsky.social / McGill. website: https://joeybose.github.io/
@abbybertics.bsky.social
dynamical neuroscience phd student at ucsb 🧠 geometric intelligence lab & complex systems group in past lives: science correspondent at The Economist 📝🎡 computer science and volleyball at mit 💻🏐
@tkrusch.bsky.social
AI postdoc @ MIT CSAIL PhD @ ETH Zurich https://konstantinrusch.com/
@mathildepapillon.bsky.social
Deep Learning + Topology + Human Movement Physics PhD candidate and pro sports analyst Geometric Intelligence Lab, UC Santa Barbara Prev McGill Physics⚡️
@hamedshirzad.bsky.social
PhD student in Computer Science at UBC | Exploring Machine Learning on Graphs https://www.hamedshirzad.com/
@mgalkin.bsky.social
Research Scientist @ Google. Prev: Intel, Postdoc @mila-quebec.bsky.social & McGill. GraphML, GNNs, Geometric DL, Knowledge Graphs. Grandmaster of 80's music (according to Spotify)
@gram-org.bsky.social
Geometry-grounded representation learning and generative modeling at ICML.
@sharvaree.bsky.social
PhD student at @amlab.bsky.social Geometric deep learning + Generative modeling. 🇳🇱🇺🇸🇮🇳 Organizer @gram-org.bsky.social workshop 📍 Amsterdam/SF
@mmbronstein.bsky.social
DeepMind Professor of AI @Oxford Scientific Director @Aithyra Chief Scientist @VantAI ML Lead @ProjectCETI geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶
@ninamiolane.bsky.social
Assis. Prof. @ucsbece Affiliate @SLAClab Stanford Prev @Stanford @Inria @imperialcollege @Polytechnique PI @geometric_intel http://gi.ece.ucsb.edu, Pilot
@maxxxzdn.bsky.social
PhD candidate at AMLab with Max Welling and Jan-Willem van de Meent. Research in physics-inspired and geometric deep learning.
@congliu.bsky.social
PhD student @ AMLab interested in Geometric Deep Learning, AI4Science, generative models on Molecules / Protein
@neribr.bsky.social
Technical Leader - Artificial Intelligence and Machine Learning Enthusiast - Senior Software Engineer https://www.linkedin.com/in/brunoneri
@pseudomanifold.topology.rocks
Dad · Geometry ∩ Topology ∩ Machine Learning Professor at University of Fribourg While #geometry & #topology may not save the world, they may well save something that is homotopy-equivalent to it. 🏠 https://bastian.rieck.me/ 🏫 https://aidos.group
@eijkelboomfloor.bsky.social
PhD candidate at University of Amsterdam | Physics-Informed Generative Modeling
@olgatticus.bsky.social
MSCA PhD student at AMLab with Erik Bekkers, interested in geometric deep learning, generative models and their intersection 🌐 ✨ K-hip hop scholar 🇰🇷 and dancer-in-the-making 💃 bit.ly/olga-zaghen
@artemmoskalev.bsky.social
Re-imagining drug discovery with AI 🧬. Deep Learning ⚭ Geometry. Previously PhD at the University of Amsterdam. https://amoskalev.github.io/
@algarciacast.bsky.social
PhD candidate at @amlab.bsky.social focusing on Geometry-informed Machine Learning 🤖 https://agarciacast.github.io
@emilevankrieken.com
Post-doc @ University of Edinburgh. Neurosymbolic Machine Learning, Generative Models, NLP https://www.emilevankrieken.com/
@jdijkman.bsky.social
Infusing statistical physics with machine learning to describe molecular fluids. PhD Candidate at UvA with Max Welling, Jan-Willem van de Meent and Bernd Ensing.
@rvalperga.bsky.social
PhD student at UVA 🇳🇱. ML & Dynamical Systems are my thing. Currently intern at ServiceNow 🇨🇦.
@lebellig.bsky.social
Ph.D. student at CNAM on domain adaptation, generative models, and self-supervised learning for remote sensing and Earth observation 🛰🌎 Previously intern @SonyCSL, @Ircam, @Inria Personal website: https://lebellig.github.io/
@s-azeglio.bsky.social
From Physics to Vision Neuroscience & AI | PhD Candidate @InstVisionParis & @ENS_ULM | Enjoyed my time @FlatironCCN, @CERN | co-organizer @neurreps
@johannbrehmer.bsky.social
Machine learner & physicist. At CuspAI, I teach machines to discover materials for carbon capture. Previously Qualcomm AI Research, NYU, Heidelberg U.
@du-nguyen.bsky.social
Mathematician - Interested in ML, Geometry, Optimization, Time Series https://scholar.google.com/citations?user=vIJxhvcAAAAJ&hl=en https://github.com/dnguyend/
@dgcnz.bsky.social
Self-supervised Learning, Efficient DL University of Amsterdam https://github.com/dgcnz
@davidvos.bsky.social
Responsible #RecSys and #IR in the Generative AI era. PhD Candidate at IRLab Amsterdam, supervised by Maarten de Rijke and Andrew Yates. davidvos.dev
@dafidofff.bsky.social
PhD candidate w/ @erikjbekkers & @egavves interested in Geometric Deep Learning and Generative Modelling at @AMLab & @ellogonai github.com/Dafidofff
@smaglia.bsky.social
Assistant prof in the Amsterdam Machine Learning Lab at the University of Amsterdam | ELLIS scholar | #causality #causalML anything #causal | 🇮🇹🇸🇮 in 🇳🇱 | #UAI2025 program chair https://saramagliacane.github.io/
@erikjbekkers.bsky.social
AMLab, Informatics Institute, University of Amsterdam. ELLIS Scholar. Geometry-Grounded Representation Learning. Equivariant Deep Learning.
@amlab.bsky.social
The official account of the Amsterdam Machine Learning Lab (AMLab) at UvA, co-directed by Max Welling and Jan-Willem van de Meent.
@bsky.app
official Bluesky account (check username👆) Bugs, feature requests, feedback: support@bsky.app