Mathias Niepert
Professor @ University of Stuttgart, Scientific Advisor @ NEC Labs, GraphML, geometric deep learning, ML for Science and Simulations. Formerly @IUBloomington and @uwcse
@lilyxu.bsky.social
Developing AI for planetary health. Postdoc at Oxford with the Leverhulme Centre for Nature Recovery & assistant prof at Columbia IEOR (starting fall 2025). https://lily-x.github.io
@liza-semenova.bsky.social
Assistant Prof @ImperialCollege. Applied Bayesian inference, spatial stats and deep generative models for epidemiology. Passionate about probabilistic programming—check out my evolving #Numpyro course: https://elizavetasemenova.github.io/prob-epi 🚀
@jhamrick.bsky.social
Senior staff research scientist at Google DeepMind. Opinions my own. She/her. Reasoning in LLMs 🤖 / planning 💭 / model-based RL 🌍 / cognitive science 🧠 / flowers🌷 / parenting 👶 / games 🎮 / public transit 🚆 http://www.jesshamrick.com
@exoplanetmaster.bsky.social
Science Management, DEI, and Communication at University of Stuttgart | PhD in Astronomy | He/Him
@combayns-workshop.bsky.social
Combining Bayesian and Neural approaches for Structured Data. ComBayNS workshop @ IJCNN 2025 Conference, Rome, June 30-July 2 2025.
@satpreetsingh.bsky.social
Postdoc @harvard.edu @kempnerinstitute.bsky.social Homepage: http://satpreetsingh.github.io Twitter: https://x.com/tweetsatpreet
@andreasgeiger.bsky.social
Professor, University of Tübingen @unituebingen.bsky.social. Head of Department of Computer Science 🎓. Faculty, Tübingen AI Center 🇩🇪 @tuebingen-ai.bsky.social. ELLIS Fellow, Founding Board Member 🇪🇺 @ellis.eu. CV 📷, ML 🧠, Self-Driving 🚗, NLP 🖺
@oisinmacaodha.bsky.social
Reader in Computer Vision and Machine Learning @ School of Informatics, University of Edinburgh. https://homepages.inf.ed.ac.uk/omacaod
@jeffdean.bsky.social
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
@maxigl.bsky.social
RS at Nvidia focussing on autonomous vehicles, simulation and RL. Opinions my own and do not represent those of my employer, Nvidia.
@yalim.bsky.social
Assistant Research Professor, Computational Research Accelerator, a supercomputing-adjacent unit @ Arizona State University. We scale science with #HPC. Vice-Chair RMACC. PhD Applied Math. on stratified fluid flows. math.la.asu.edu/~yalim Views my own
@sharvaree.bsky.social
PhD student at @amlab.bsky.social Geometric deep learning + Generative modeling. 🇳🇱🇺🇸🇮🇳 Organizer @gram-org.bsky.social workshop 📍 Amsterdam/SF
@samikaski.bsky.social
Probabilistic machine learning and its applications in AI, health, user interaction. @ellisinstitute.fi, @ellis.eu, fcai.fi, @aifunmcr.bsky.social
@jwenger.bsky.social
Postdoctoral Research Scientist in Statistics at Columbia University
@takashimal.bsky.social
Researcher @NECLabsEU. Previously visiting scholar, SNAP @Stanford. My personal homepage https://sites.google.com/view/tmaruyama/home
@federico-errica.bsky.social
Senior Research Scientist at NEC. PhD in CS @ UniPi, Bayesian Deep Learning for Graphs. Trying to do Science 🔍, not SotA 🥇.
@auai.org
Association for Uncertainty in AI. Upcoming conference: #uai2025 July 21-25th in Rio de Janeiro, Brazil 🇧🇷 ! https://auai.org/uai2025
@viktorzaverkin.bsky.social
Research Scientist @ NEC Labs Europe, Ph.D. in Theoretical Chemistry @ SimTech & @unistuttgart.bsky.social, ML/DL for Chemistry & Materials Science, #StandWithUkraine
@rui--carvalho.bsky.social
Assistant Professor at Durham University. AI4Science https://www.ruicarvalho.org/
@abojchevski.bsky.social
Trustworthy Machine Learning. Graphs. Professor at the University of Cologne. He/Him. 🏳️🌈 https://abojchevski.github.io/
@anjiliu.bsky.social
Incoming Assistant Professor (Presidential Young Professor, PYP) at the National University of Singapore (NUS). https://liuanji.github.io/
@brunofmr.bsky.social
Associate Professor of Computer Science @Purdue, interested in graphs, invariances, causality, and OOD robustness in ML
@jonnyfrazer.bsky.social
Probabilistic machine learning to address questions in evolution and health #EvolutionaryMedicine. PI at the Centre for Genomic Regulation, co-leading a group with Mafalda Dias. Previously Harvard.
@ropeharz.bsky.social
Assistant prof at TU Graz, formerly assistant prof at TU Eindhoven, Marie-Curie Fellow at University of Cambridge. Probabilistic Machine Learning.
@alphafold.bsky.social
Unofficial account exploring the intersection of biology, molecules, science, AI and protein folding with AlphaFold.
@philipp.hertie.ai
Professor of Data Science @ University of Tübingen, Director of Hertie AI (www.hertie.ai) and Speaker of ML4Science (www.machinelearningforscience.de)
@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
@miniapeur.bsky.social
Gradient surfer at UCL. FR, EN, also trying ES. 🇹🇼🇨🇦🇬🇳🇺🇸🇩🇴🇫🇷🇪🇸🇬🇧🇿🇦. Also on Twitter.
@pontilgroup.bsky.social
Computational Statistics and Machine Learning (CSML) Lab | PI: Massimiliano Pontil | Webpage: csml.iit.it | Active research lines: Learning theory, ML for dynamical systems, ML for science, and optimization.
@giuseppemarra.bsky.social
Assistant Professor in Artificial Intelligence KU Leuven Belgium
@vincentderk.bsky.social
Postdoctoral researcher @ KU Leuven NeuroSymbolic AI & Knowledge Compilation
@uwcse.bsky.social
The Paul G. Allen School of Computer Science & Engineering at the University of Washington educates tomorrow's innovators while developing solutions to humanity's greatest challenges.
@lucderaedt.bsky.social
Professor of AI, DTAI, KU Leuven; Wallenberg Guestprofessor AASS, Örebro University; Director http://Leuven.AI, AAAI and EurAI Fellow, Former PC Chair IJCAI, ICML, ECAI and ECMLPKDD, ERC AdG 2015 and 2023
@zicokolter.bsky.social
Professor and Head of Machine Learning Department at Carnegie Mellon. Board member OpenAI. Chief Technical Advisor Gray Swan AI. Chief Expert Bosch Research.
@taco-cohen.bsky.social
Deep learner at FAIR. Into codegen, RL, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
@chrsmrrs.bsky.social
@RWTH. Previously, @Mila_Quebec, @mcgillu, @polymtl, and @TU_Dortmund. Working on learning with graphs and ML for combinatorial optimization.