Rianne van den Berg @riannevdberg.bsky.social Deep learning, computational chemistry, generative modeling, AI for Science. Principal Research Manager at Microsoft Research AI for Science.
Durk Kingma @dpkingma.bsky.social Research scientist at Anthropic. Prev. Google Brain/DeepMind, founding team OpenAI. Computer scientist; inventor of the VAE, Adam optimizer, and other methods. ML PhD. Website: dpkingma.com
Mona Schirmer @monaschir.bsky.social PhD candidate @amlab.bsky.social @ellis.eu
Probabilistic Machine Learning | Sequence Models
Roel Hulsman @roelhulsman.bsky.social PhD Candidate Causal Machine Learning @AMLab @Adyen
Metod Jazbec @metodjazbec.bsky.social ML PhD student at University of Amsterdam
riccardo @rmassidda.it Post Doc researcher at the University of Pisa. Previously PhD student @ellis.eu.
ELLIS unit Amsterdam @ellisamsterdam.bsky.social Promoting research excellence and advancing breakthroughs in AI
The Bluesky account of the ELLIS unit Amsterdam. For more information, visit our website: https://ivi.fnwi.uva.nl/ellis/
Thomas Kipf @tkipf.bsky.social Research at Google DeepMind. Ex-Physicist. Controllable World Simulators (GNNs, Structured World Models, Neural Assets). TLM Veo Capabilities (Ingredients & more).
📍 San Francisco, CA
Artem Moskalev @artemmoskalev.bsky.social Re-imagining drug discovery with AI 🧬. Deep Learning ⚭ Geometry. Previously PhD at the University of Amsterdam. https://amoskalev.github.io/
@eeevgen.bsky.social @eeevgen.bsky.social 
Rob Romijnders @robrom.bsky.social 
Sindy Löwe @sindylowe.bsky.social ML Scientist @CuspAI | Innovating for a greener future 🌱
Nabil Iqbal @nabiliqbal.bsky.social theoretical physics. normally professing at durham u. currently machine learning at amlab at university of amsterdam. www.nabiliqbal.com
@mvmacfarlane.bsky.social @mvmacfarlane.bsky.social PhD Candidate @AmlabUvA working on Reinforcement Learning , Search and Adaptive Computation | visiting researcher at the University of Alberta @rlai_lab
T. Anderson Keller @andykeller.bsky.social Postdoctoral Fellow at Harvard Kempner Institute. Trying to bring natural structure to artificial neural representations. Prev: PhD at UvA. Intern @ Apple MLR, Work @ Intel Nervana
Ben Miller @bkmi.bsky.social FAIR Chemistry. Simulation-based Inference.
Nina Miolane @ninamiolane.bsky.social Assis. Prof. @ucsbece Affiliate @SLAClab Stanford Prev @Stanford @Inria @imperialcollege @Polytechnique PI @geometric_intel
http://gi.ece.ucsb.edu, Pilot
GRaM Workshop @gram-org.bsky.social Geometry-grounded representation learning and generative modeling at ICML. 
Floor Eijkelboom @eijkelboomfloor.bsky.social PhD candidate at University of Amsterdam | Physics-Informed Generative Modeling
@zmheiko.bsky.social @zmheiko.bsky.social 
Natasha Butt @natashabutt.bsky.social PhD student at the University of Amsterdam
Advised by Max Welling and Jan-Willem van de Meent
Mátyás Schubert @matyasch.bsky.social PhD in causal machine learning @amlab.bsky.social
Leon Lang @leon-lang.bsky.social PhD Candidate at the University of Amsterdam. AI Alignment and safety research. Formerly multivariate information theory and equivariant deep learning. Masters degrees in both maths and AI. https://langleon.github.io/
@mariuscaptari.bsky.social @mariuscaptari.bsky.social PhD candidate at AMLab
Rajeev Verma @rajevv.bsky.social hoping this is the old gold twitter | PhD student at @amlab.bsky.social working on the foundations of machine learning | rajevv.github.io
Cong Liu @congliu.bsky.social PhD student @ AMLab interested in Geometric Deep Learning, AI4Science, generative models on Molecules / Protein
Babak Esmaeili @bobsmiley.bsky.social Postdoc @TUeindhoven
David R. Wessels @dafidofff.bsky.social PhD candidate w/ @erikjbekkers & @egavves interested in Geometric Deep Learning and Generative Modelling at @AMLab & @ellogonai
github.com/Dafidofff
David M. Knigge @davidmknigge.bsky.social PhD candidate at UvA in continuous signal modelling, geometric deep learning and dynamics.
Erik Bekkers @erikjbekkers.bsky.social AMLab, Informatics Institute, University of Amsterdam. ELLIS Scholar. Geometry-Grounded Representation Learning. Equivariant Deep Learning.
Alejandro García @algarciacast.bsky.social PhD candidate at @amlab.bsky.social focusing on Geometry-informed Machine Learning 🤖 https://agarciacast.github.io
Max Zhdanov @maxxxzdn.bsky.social PhD candidate at AMLab with Max Welling and Jan-Willem van de Meent.
Research in physics-inspired and geometric deep learning.
Sara Magliacane hiring PhDs at UvA @smaglia.bsky.social Full prof at @uni-saarland.de & part of @amlab.bsky.social at the University of Amsterdam | ELLIS scholar | #causality #causalML anything #causal |
🇮🇹🇸🇮 in 🇩🇪🇳🇱
#UAI2026 general chair
https://saramagliacane.github.io/
Grigory Bartosh @gbarto.bsky.social PhD candidate at AMLab, UvA. Diffusion Models, Generative Models, Deep Learning.
grigorybartosh.github.io
Jacobus Dijkman @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.
Olga Zaghen @olgatticus.bsky.social MSCA PhD student at AMLab with Erik Bekkers, interested in geometric deep learning, generative models and their intersection 🌐 ✨
bit.ly/olga-zaghen
Sharvaree Vadgama @sharvaree.bsky.social PhD student at @amlab.bsky.social
Geometric deep learning + Generative modeling.
🇳🇱🇺🇸🇮🇳
Organizer @gram-org.bsky.social and @scifordl.bsky.social workshop
📍 Amsterdam/SF
@wellingmax.bsky.social @wellingmax.bsky.social 
Christian A. Naesseth @canaesseth.bsky.social Assistant Professor of Machine Learning
Generative AI, Uncertainty Quantification, AI4Science
Amsterdam Machine Learning Lab, University of Amsterdam
https://naesseth.github.io
Jan-Willem van de Meent @jwvdm.bsky.social Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.