ACM FAccT @facct.bsky.social ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT). June 2026 in Montreal, Canada 🇨🇦 #FAccT2026
https://facctconference.org/
Ira Globus-Harris @iraglobusharris.bsky.social Assistant research prof at Cornell, interested in bridging responsible and robust algorithm design and practice.
I'm currently working with Nikhil Garg and danah boyd; my PhD in CS was advised by Aaron Roth and Michael Kearns.
Mehmet Mars Seven ♞ @mehmetmars7.bsky.social Lecturer @kcl-spe.bsky.social @kingscollegelondon.bsky.social
Game Theory, Econ & CS, Pol-Econ, Sport
Chess ♟️
Game Theory Corner at Norway Chess
Studied in Istanbul -> Paris -> Bielefeld -> Maastricht
Views are my own
@let-all.com @let-all.com 
Fiona Lippert @fionalippert.bsky.social Postdoc at SRON | Previously PhD at AMLab & AI4Science Lab, University of Amsterdam
Interested in AI for Earth science & ecology, hybrid modeling, geospatial machine learning
Drew Prinster @drewprinster.bsky.social Trustworthy AI/ML in healthcare & high-stakes apps | My job is (mostly) error bars \SaluteEmoji (eg, conformal prediction) | CS PhD at Johns Hopkins. Prev at Yale. he/him
https://drewprinster.github.io/
@lastpositivist.bsky.social @lastpositivist.bsky.social Aspiring philosopher; tolerable human; "amusing combination of sardonic detachment & literally all the feelings felt entirely unironically all at once" [he/his]
arxiv stat.ML @arxiv-stat-ml.bsky.social source: https://arxiv.org/rss/stat.ML
maintainer: @tmaehara.bsky.social
@jeffhelzner.bsky.social @jeffhelzner.bsky.social Former academic philosopher. Currently measuring and estimating stuff in the insurance industry. Interested in decision making, uncertainty, and long walks on the beach.
https://jeffhelzner.github.io
Richard Pettigrew @wiglet1981.bsky.social Philosopher at University of Bristol 🏳️🌈 he/him
https://richardpettigrew.github.io
Books: Epistemic Risk and the Demands of Rationality | Choosing for Changing Selves | Dutch Book Arguments | Accuracy and the Laws of Credence | Who Are Universities For?
Kevin Zollman @kevinzollman.com Philosophy and Game Theory 🦚 Research the interface between philosophy, economics, and biology 💱 www.kevinzollman.com
Tejaswi Kasarla @tkasarla.bsky.social Learning in non-Euclidean spaces | ELLIS PhD student @ VIS Lab, University of Amsterdam | Board Member @ WiCVWorkshop | Open to internships for spring/summer 2025.
Gautam Kamath @gautamkamath.com Assistant Prof of CS at NYU Courant. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning.
http://www.gautamkamath.com
Michael Hanna @michaelwhanna.bsky.social PhD Student at the ILLC / UvA doing work at the intersection of (mechanistic) interpretability and cognitive science. Current Anthropic Fellow.
hannamw.github.io
Gabriel Peyré @gabrielpeyre.bsky.social CNRS researcher at ENS
Mona Schirmer @monaschir.bsky.social PhD candidate @amlab.bsky.social @ellis.eu
Probabilistic Machine Learning | Sequence Models
- L Laurence Aitchison @laurenceai.bsky.social Lecturer at the University of Bristol.
probabilistic ML, optimisation, interpretability, LLM evals.
Efstratios Gavves @egavves.bsky.social Associate Professor & Co-Founder - Dynamical Deep Learning
@zmheiko.bsky.social @zmheiko.bsky.social 
riccardo @rmassidda.it Post Doc researcher at the University of Pisa. Previously PhD student @ellis.eu.
Jessica Hullman @jessicahullman.bsky.social Ginni Rometty Prof @NorthwesternCS | Fellow @NU_IPR | AI, people, uncertainty, beliefs, decisions, metascience | Blog @statmodeling
Metod Jazbec @metodjazbec.bsky.social ML PhD student at University of Amsterdam
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/
Jaap Jumelet @jumelet.bsky.social Postdoc @rug.nl with Arianna Bisazza.
Interested in NLP, interpretability, syntax, language acquisition and typology.
Hidde Fokkema @hiddefokkema.bsky.social Researcher in Mathematical Machine Learning | PhD with @tverven | Researching formal XAI | Maths nerd | Occasional producer of electronic music
https://www.hidde-fokkema.com
Sébastien Destercke @sebastiendestercke.bsky.social CS researcher in uncertainty reasoning (wherever it appears: risk analysis, AI, philosophy, ...), mostly mixing sets and probabilities. Posts mostly on this topic (french and english), and a bit about others. Personal account and opinions.
Shubhendu Trivedi @shubhendu.bsky.social https://shubhendu-trivedi.org
Nabil Iqbal @nabiliqbal.bsky.social theoretical physics. normally professing at durham u. currently machine learning at amlab at university of amsterdam. www.nabiliqbal.com
Grigory Bartosh @gbarto.bsky.social PhD candidate at AMLab, UvA. Diffusion Models, Generative Models, Deep Learning.
grigorybartosh.github.io
Natalie Collina @ncollina.bsky.social CS PhD student at UPenn studying strategic human-AI interaction. Nataliecollina.com
Jess Sorrell @optimistsinc.bsky.social Assistant prof at JHU CS. Interested in theory of ML, privacy, cryptography. All cat pictures my own and do not represent the cats of my employer
Aaron Roth @aaroth.bsky.social Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
Andrew Gordon Wilson @andrewgwils.bsky.social Machine Learning Professor
https://cims.nyu.edu/~andrewgw
Preetum Nakkiran @preetumnakkiran.bsky.social ML Research @ Apple.
Understanding deep learning (generalization, calibration, diffusion, etc).
preetum.nakkiran.org
Zachary Lipton @zacharylipton.bsky.social Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
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
Thomas Wolf @thomwolf.bsky.social Co-founder @huggingface
Dennis Ulmer @ACL26 @dnnslmr.bsky.social Postdoctoral researcher at the Institute for Logic, Language and Computation at the University of Amsterdam.
Previously PhD Student at NLPNorth at the IT University of Copenhagen, with internships at AWS, Parameter Lab, Pacmed.
dennisulmer.eu
Alicia Curth @aliciacurth.bsky.social Machine Learner by day, 🦮 Statistician at ❤️
In search of statistical intuition for modern ML & simple explanations for complex things👀
Interested in the mysteries of modern ML, causality & all of stats. Opinions my own.
https://aliciacurth.github.io
Tim van Erven @timvanerven.nl Associate professor in machine learning at the University of Amsterdam. Topics: (online) learning theory and the mathematics of explainable AI.
www.timvanerven.nl
Theory of Interpretable AI seminar: https://tverven.github.io/tiai-seminar
Jes Frellsen @jesfrellsen.bsky.social Associate Professor of Machine Learning and Signal Processing, Technical University of Denmark (DTU)
https://frellsen.org
David M. Knigge @davidmknigge.bsky.social PhD candidate at UvA in continuous signal modelling, geometric deep learning and dynamics.
@mariuscaptari.bsky.social @mariuscaptari.bsky.social PhD candidate at AMLab
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.
@kyunghyuncho.bsky.social @kyunghyuncho.bsky.social a mediocre combination of a mediocre AI scientist, a mediocre physicist, a mediocre chemist, a mediocre manager and a mediocre professor.
see more at https://kyunghyuncho.me/
Vaishnavh Nagarajan @vaishnavh.bsky.social Foundations of AI. I like simple and minimal examples and creative ideas. I also like thinking about the next token 🧮🧸
Google | PhD, CMU |
https://arxiv.org/abs/2504.15266 | https://arxiv.org/abs/2403.06963
vaishnavh.github.io
Dan Roy @roydanroy.bsky.social Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst.
Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org
I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
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.
Pasquale Minervini @neuralnoise.com Researcher in ML/NLP at the University of Edinburgh (faculty at Informatics and EdinburghNLP), Co-Founder/CTO at www.miniml.ai, ELLIS (@ELLIS.eu) Scholar, Generative AI Lab (GAIL, https://gail.ed.ac.uk/) Fellow -- www.neuralnoise.com, he/they
Tycho van der Ouderaa @tychovdo.bsky.social Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
Emile van Krieken @emilevankrieken.com Assistant professor @ VU Amsterdam, prev University of Edinburgh.
Neurosymbolic Machine Learning, Generative Models, commonsense reasoning
https://www.emilevankrieken.com/
@pmangg.bsky.social @pmangg.bsky.social 
Natasha Butt @natashabutt.bsky.social PhD student at the University of Amsterdam
Advised by Max Welling and Jan-Willem van de Meent
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
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/
Floor Eijkelboom @eijkelboomfloor.bsky.social PhD candidate at University of Amsterdam | Physics-Informed Generative Modeling
Ben Miller @bkmi.bsky.social FAIR Chemistry. Simulation-based Inference.
Sindy Löwe @sindylowe.bsky.social ML Scientist @CuspAI | Innovating for a greener future 🌱
Alejandro García @algarciacast.bsky.social PhD candidate at @amlab.bsky.social focusing on Geometry-informed Machine Learning 🤖 https://agarciacast.github.io
Mátyás Schubert @matyasch.bsky.social PhD in causal machine learning @amlab.bsky.social
AMLab @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.
Erik Bekkers @erikjbekkers.bsky.social AMLab, Informatics Institute, University of Amsterdam. ELLIS Scholar. Geometry-Grounded Representation Learning. Equivariant Deep Learning.
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
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.
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
Marvin Schmitt @marvin-schmitt.com ⛵️ Research Scientist @ Midjourney
🇪🇺 Member @ellis.eu
🤖 Generative NNs, Deep Learning, ProbML, Simulation Intelligence
🎓 PhD+MSc Computer Science, MSc Psychology
🏡 https://marvin-schmitt.com