@lawlessopt.bsky.social
Stanford MS&E Postdoc | Human-Centered AI & OR Prev: @CornellORIE @MSFTResearch, @IBMResearch, @uoftmie 🌈
@e-giunchiglia.bsky.social
Assistant Professor at Imperial College London | EEE Department and I-X. Neuro-symbolic AI, Safe AI, Generative Models Previously: Post-doc at TU Wien, DPhil at the University of Oxford.
@qiaoyu-rosa.bsky.social
Final year NLP PhD student at UChicago. Explainability, reasoning, and hypothesis generation!
@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.
@tfjgeorge.bsky.social
Explainability of deep neural nets and causality https://tfjgeorge.github.io/
@jaom7.bsky.social
Associate Professor @UAntwerp, sqIRL/IDLab, imec. #RepresentationLearning, #Model #Interpretability & #Explainability A guy who plays with toy bricks, enjoys research and gaming. Opinions are my own idlab.uantwerpen.be/~joramasmogrovejo
@aparafita.bsky.social
Senior Researcher at Barcelona Supercomputing Center | PhD in Causal Estimation with estimand-agnostic frameworks, working on Machine Learning Explainability Github: @aparafita
@noahlegall.bsky.social
AppSci @ Dotmatics | Microbial Bioinformatics | Deep Learning & Explainability | Nextflow Ambassador | Author of 'The Microbialist' Substack | Thoughts are my own personal opinions and do not represent a third party
@charlottemagister.bsky.social
PhD student @ University of Cambridge, focusing on Explainability and Interpretability for GNNs
@amirrahnama.bsky.social
PhD Student at KTH Royal Institute of Technology. Researching Explainability and Interpretability in Machine Learning
@gsarti.com
PhD Student at @gronlp.bsky.social 🐮, core dev @inseq.org. Interpretability ∩ HCI ∩ #NLProc. gsarti.com
@wordscompute.bsky.social
nlp/ml phding @ usc, interpretability & reasoning & pretraining & emergence 한american, she, iglee.me, likes ??= bookmarks
@ronitelman.bsky.social
O'Reilly Author, "Unifying Business, Data, and Code" (2024), and Apress author, "The Language of Innovation" (2025)
@ovdw.bsky.social
Technology specialist at the EU AI Office / AI Safety / Prev: University of Amsterdam, EleutherAI, BigScience Thoughts & opinions are my own and do not necessarily represent my employer.
@jkminder.bsky.social
CS Student at ETH Zürich, currently doing my masters thesis at the DLAB at EPFL Mainly interested in Language Model Interpretability. Most recent work: https://openreview.net/forum?id=Igm9bbkzHC MATS 7.0 Winter 2025 Scholar w/ Neel Nanda jkminder.ch
@velezbeltran.bsky.social
Machine Learning PhD Student @ Blei Lab & Columbia University. Working on probabilistic ML | uncertainty quantification | LLM interpretability. Excited about everything ML, AI and engineering!
@swetakar.bsky.social
Machine learning PhD student @ Blei Lab in Columbia University Working in mechanistic interpretability, nlp, causal inference, and probabilistic modeling! Previously at Meta for ~3 years on the Bayesian Modeling & Generative AI teams. 🔗 www.sweta.dev
@romapatel.bsky.social
research scientist @deepmind. language & multi-agent rl & interpretability. phd @BrownUniversity '22 under ellie pavlick (she/her) https://roma-patel.github.io
@dilya.bsky.social
PhD Candidate in Interpretability @FraunhoferHHI | 📍Berlin, Germany dilyabareeva.github.io
@sarahwiegreffe.bsky.social
Research in NLP (mostly LM interpretability & explainability). Incoming assistant prof at UMD CS + CLIP. Current postdoc @ai2.bsky.social & @uwnlp.bsky.social Views my own. sarahwie.github.io
@stephaniebrandl.bsky.social
Assistant Professor in NLP (Fairness, Interpretability and lately interested in Political Science) at the University of Copenhagen ✨ Before: PostDoc in NLP at Uni of CPH, PhD student in ML at TU Berlin
@polochau.bsky.social
Professor, Georgia Tech • ML+VIS • Director, Polo Club of AI 🚀 poloclub.gatech.edu • Carnegie Mellon alum. Covert designer, cellist, pianist faculty.cc.gatech.edu/~dchau
@mlam.bsky.social
Stanford CS PhD student | hci, human-centered AI, social computing, responsible AI (+ dance, design, doodling!) michelle123lam.github.io
@angieboggust.bsky.social
MIT PhD candidate in the VIS group working on interpretability and human-AI alignment
@hectorkohler.bsky.social
PhD student in interpretable reinforcement learning at Inria Scool. http://Kohlerhector.github.io/homepage/
@dvinnie.bsky.social
Researcher at Google DeepMind in London. Previously PhD at Cambridge University.
@sulinliu.bsky.social
Postdoc at MIT. Generative models, inference, AI for science. Prev: Princeton, Meta, NUS. liusulin.github.io
@danklotz.bsky.social
Professional Stumbler. Shenanigans with Earth Science & Machine Learning Visiting researcher at google & assistant prof at it:u (at)
@dfm.io
Retired computational astrophysicist Working on JAX at Google DeepMind Editor at The Journal of Open Source Software (he/him) https://dfm.io // https://github.com/dfm
@eviatarbach.bsky.social
Lecturer (Asst. Prof.) @ University of Reading in meteorology and math. & stats | Data assimilation, climate, ML, applied dynamical systems, predictability, inverse problems https://eviatarbach.com
@sebastian-uribe.bsky.social
Book Author - AI for Science Senior AI PM @HelloBetter Open-ended scientific discovery Animal rights activist
@johnboik.bsky.social
PhD research fellow at Active Inference Institute, data science, cognitive science, probabilistic models, Julia, Montana regenerative hobby farmer, author of Economic Direct Democracy: A Framework to End Poverty and Maximize Well-Being. #wellbeingeconomy
@samblouir.bsky.social
Thanks for coming to “Foundation Models for Biological Discoveries” (FMs4Bio) @ AAAI 2025!
@lukasgruber.bsky.social
Ph.D. Student @ ELLIS Unit / University Linz Institute for Machine Learning
@nandofioretto.bsky.social
Assistant Professor of Computer Science at the University of Virginia. I work on Responsible AI (differential privacy & fairness) and machine learning for science and engineering (differentiable optimization) | http://nandofioretto.github.io
@jobrandstetter.bsky.social
Co-Founder & Chief Scientist @ Emmi AI. Ass. Prof / Group Lead @jkulinz. Former MSFTResearch, UvA_Amsterdam, CERN, TU_Wien
@tkrusch.bsky.social
AI postdoc @ MIT CSAIL PhD @ ETH Zurich https://konstantinrusch.com/
@chatgtp.bsky.social
Machine learning for molecular biology. ELLIS PhD student at Fabian Theis lab. EPFL alumnus.
@rohangorantla.bsky.social
Developing ML methods for Drug Discovery @ Novartis 🧬💻 | prev: PhD student @ University of Edinburgh with Toni Mey
@elseml.bsky.social
💡 PhD candidate @ Heidelberg University. 🌱 AI for science - simulation-based inference, robust machine learning & cognitive modeling.
@vagar.bsky.social
Head of mRNA Platform Design Data Science @Sanofi (https://www.linkedin.com/in/vagarwal87). R&D in mRNA therapeutics using ML/DL. Formerly @ UTAustin, MIT, MSFTResearch, UW, & Calico. Latest work: gScholar (https://tinyurl.com/3xdfksy6)
@mandanas.bsky.social
PhD candidate at McGill and Mila (Quebec AI Institute) w/ Blake Richards and Doina Precup. Doing research on AI and Neuroscience 🤖🧠 Based in Montreal. 🇨🇦
@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.
@mayrandreas.bsky.social
Postdoctoral Senior Scientist working at Johannes Kepler University Linz (Austria) Some other profiles: https://scholar.google.com/citations?user=3-Iw0tgAAAAJ&hl=de https://at.linkedin.com/in/andreas-mayr-48479664
@sidneygjwong.bsky.social
黃吉贊 ~ Queer Cantonese advocate from Aotearoa & PhD researcher @ Canterbury, NZ. he/any Computational Sociolinguist. Place ~ Identity ~ Language. Fulbright 24/25 @ Champaign-Urbana, IL. Views my own. https://linktr.ee/sidneygjwong
@olegranmo.bsky.social
AI Professor and Founding Director @ https://cair.uia.no | Chair of Technical Steering Committee @ https://www.literal-labs.ai | Book: https://tsetlinmachine.org
@natalieshapira.bsky.social
Tell me about challenges, the unbelievable, the human mind and artificial intelligence, thoughts, social life, family life, science and philosophy.