Rajeev Verma
hoping this is the old gold twitter | PhD student at @amlab.bsky.social working on the foundations of machine learning | rajevv.github.io
@drmehmetismail.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 https://linktr.ee/drmehmetismail Views are my own
@fionalippert.bsky.social
Postdoc at SRON | PhD at AMLab & AI4Science Lab, University of Amsterdam Interested in AI for Earth science & ecology, hybrid modeling, geospatial machine learning
@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/
@arxiv-stat-ml.bsky.social
source: https://arxiv.org/rss/stat.ML maintainer: @tmaehara.bsky.social
@wiglet1981.bsky.social
Philosopher at University of Bristol 🏳️🌈 he/him https://richardpettigrew.com/ 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?
@kevinzollman.com
Philosophy and Game Theory at Carnegie Mellon 🦚 Research the interface between philosophy, economics, and biology 💱 www.kevinzollman.com
@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.
@gautamkamath.com
Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2025. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning. http://www.gautamkamath.com
@michaelwhanna.bsky.social
PhD Student at the ILLC / UvA doing work at the intersection of (mechanistic) interpretability and cognitive science. hannamw.github.io
@gabrielpeyre.bsky.social
@monaschir.bsky.social
PhD candidate @amlab.bsky.social @ellis.eu Probabilistic Machine Learning | Sequence Models
@laurenceai.bsky.social
Lecturer at the University of Bristol. probabilistic ML, optimisation, interpretability, LLM evals.
@rmassidda.it
Post Doc researcher at the University of Pisa. Previously PhD student @ellis.eu.
@jessicahullman.bsky.social
Ginni Rometty Prof @NorthwesternCS | Fellow @NU_IPR | Uncertainty + decisions | Humans + AI/ML | Blog @statmodeling
@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/
@jumelet.bsky.social
Postdoc @rug.nl with Arianna Bisazza. Interested in NLP, interpretability, syntax, language acquisition and typology.
@hiddefokkema.bsky.social
PhD candidate in Mathematical Machine Learning with @tverven | Researching formal XAI | Maths nerd | Occasional producer of electronic music https://www.hidde-fokkema.com
@sebastiendestercke.bsky.social
CS researcher in uncertainty reasoning (whenever 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.bsky.social
Interests on bsky: ML research, applied math, and general mathematical and engineering miscellany. Also: Uncertainty, symmetry in ML, reliable deployment; applications in LLMs, computational chemistry/physics, and healthcare. https://shubhendu-trivedi.org
@nabiliqbal.bsky.social
theoretical physics. normally professing at durham u. currently machine learning at amlab at university of amsterdam. www.nabiliqbal.com
@gbarto.bsky.social
PhD candidate at AMLab, UvA. Diffusion Models, Generative Models, Deep Learning. grigorybartosh.github.io
@ncollina.bsky.social
Penn CS PhD student and IBM PhD Fellow studying strategic algorithmic interaction. Calibration, commitment, collusion, collaboration. She/her. Nataliecollina.com
@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
@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
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@preetumnakkiran.bsky.social
ML Research @ Apple. Understanding deep learning (generalization, calibration, diffusion, etc). preetum.nakkiran.org
@zacharylipton.bsky.social
CTO & Chief Scientific Officer @ Abridge, CMU ML prof, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
@ninamiolane.bsky.social
Assis. Prof. @ucsbece Affiliate @SLAClab Stanford Prev @Stanford @Inria @imperialcollege @Polytechnique PI @geometric_intel http://gi.ece.ucsb.edu, Pilot
@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
@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
@timvanerven.nl
Associate professor in machine learning at the University of Amsterdam. Topics: (online) learning theory and the mathematics of interpretable AI. www.timvanerven.nl Theory of Interpretable AI seminar: https://tverven.github.io/tiai-seminar
@jesfrellsen.bsky.social
Associate Professor of Machine Learning and Signal Processing, Technical University of Denmark (DTU) https://frellsen.org
@davidmknigge.bsky.social
PhD candidate at UvA in continuous signal modelling, geometric deep learning and dynamics.
@maxxxzdn.bsky.social
PhD candidate at AMLab with Max Welling and Jan-Willem van de Meent. Research in physics-inspired and geometric deep learning.
@vaishnavh.bsky.social
Foundations of AI. I like toy examples and creative ideas. 🧮🧸 Google Research | PhD, CMU | https://arxiv.org/abs/2403.06963 vaishnavh.github.io
@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.
@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.
@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
@tychovdo.bsky.social
Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
@emilevankrieken.com
Post-doc @ University of Edinburgh. Neurosymbolic Machine Learning, Generative Models, NLP https://www.emilevankrieken.com/