Strengthening Europe's Leadership in AI through Research Excellence | ellis.eu
CS PhD student at UT Austin in #NLP
Interested in language, reasoning, semantics and cognitive science. One day we'll have more efficient, interpretable and robust models!
Other interests: math, philosophy, cinema
https://www.juandiego-rodriguez.com/
Associate Professor of #Philosophy at the University of Bergen. 🇳🇴 Various philosophical interests. Kant’s theoretical philosophy is my field of specialty. Other interests: arts, science, music, literature, photography, and travels.
Thanks for coming to “Foundation Models for Biological Discoveries” (FMs4Bio) @ AAAI 2025!
Cortical surface modelling and interpretable/explainable #AI, geometric deep learning #neuroscience. Open science: HCP, dhcp, UKBiobank
Behavioral neuroscientist with interest in decision-making and (ir)rationality.
Assistant Professor at Reed College #newPI
Former postdoc at Izquierdo Lab UCLA
🇨🇱
https://www.vgonzalezlab.com/home
Computational Cognitive Neuroscientist at CiNet & Osaka University. Category learning to concepts & everything between (semantic/episodic memory). Cognitive aging/damage in models & brains. To understand the brain & AI.
NLP assistant prof at KU Leuven, PI @lagom-nlp.bsky.social. I like syntax more than most people. Also multilingual NLP, interpretability, mountains and beer. (She/her)
Bioimage analysis and mathematical modelling, mainly in developmental biology. Research engineer @CNRS.bsky.social @pasteur.fr
Peruvian Computational Neuroscientist. Currently at @Yale. Working on applying machine learning for understanding learning and perception.
Postdoc at Visual Inference Lab, TU Darmstadt
Tenure-Track Junior Professor | Plant-Microbiome Adaptation @ Université de Picardie Jules Verne | Climate Resilience & Microbial Ecology | Mycorrhiza | Molecular Biology | Plant Science | Ecology & Evolution
Postdoc @ Northeastern, @ndif-team.bsky.social w/ @davidbau.bsky.social. Interpretability ∩ HCI ∩ #NLProc. Built @inseq.org. Prev: PhD @gronlp.bsky.social, ML @awscloud.bsky.social
gsarti.com
French mathematician doing XAI and Fairness for #NLProc.
Prev: PhD on CS at ANITI Toulouse & MSc on maths at École polytechnique Paris.
https://fanny-jourdan.github.io/
Sentence Transformers, SetFit & NLTK maintainer
Machine Learning Engineer at 🤗 Hugging Face
Anti-cynic. Towards a weirder future. Reinforcement Learning, Autonomous Vehicles, transportation systems, the works. Asst. Prof at NYU
https://emerge-lab.github.io
https://www.admonymous.co/eugenevinitsky
computers and music are (still) fun
Official account of the NYU Center for Data Science, the home of the Undergraduate, Master’s, and Ph.D. programs in data science. cds.nyu.edu
Philosopher of science, Director of Center for Public Engagement with Science at University of Cincinnati. Books: Idealization and the Aims of Science, Recipes for Science, Science and the Public. https://www.angelapotochnik.com
Research Scientist @ Idiap Research Institute. @idiap.bsky.social
Adjunct lecturer @ Australian Institute for ML. @aimlofficial.bsky.social
Occasionally cycling across continents.
https://www.damienteney.info
CPJ Network France is an informal supportive and collaborative community for Chaire de Professeur Junior (CPJ) laureates. Our mission is to foster connections, share resources, and promote mutual growth among laureates. cpjnetworkfrance.wordpress.com
PhD student @LIG | Causal abstraction, interpretability & LLMs
@_angie_chen at the other place
PhD student @NYU, formerly at
@Princeton 🐅
Interested in LLMs/NLP, pastries, and running. She/her.
Lecturer in AI, Government & Policy at the OII (University of Oxford) | Author of "The Materiality of AI" (2027, Bristol University Press) | Associate Editor at Big Data & Society | Investigating algorithmic accountability and environmental impacts
MCF | Researcher in Good Old-Fashioned Artificial Intelligence (GOFAI) : mainly knowledge representation and reasoning & synergies with machine learning | trail running
mastodon: https://piaille.fr/@0xdefec7edcafe
Enjoy not enjoying ideals | Interpretability of modular convnets applied to 👁️ and 🛰️🐝 | she/her 🦒💕
variint.github.io
Physics journalist at Quanta Magazine.
Illuminating math and science. Supported by the Simons Foundation. 2022 Pulitzer Prize in Explanatory Reporting. www.quantamagazine.org
Reader in Computer Vision and Machine Learning @ School of Informatics, University of Edinburgh.
https://homepages.inf.ed.ac.uk/omacaod
Interested in all things causal modeling. Ongoing projects on causal analyses of discrimination and on causation in dynamical systems.
Assistant Professor at University of Aberdeen | Postdoc at UCL | PhD at University of Sheffield | mechanistic interpretability & multimodal LLMs | https://www.ruizhe.space
Searching for principles of neural representation | Neuro + AI @ enigmaproject.ai | Stanford | sophiasanborn.com
> Language + CogSci + Evolution + NLP/ML/AI
COMPLEXITY, FUNCTION & FORM in
- language, culture, cognition
- evo dynamics
- info & computation
- explanation
homeostatic property cluster at large
LangEvo is Hard Reading List
https://t.ly/gfGj
#nlp @ Sorbonne Université & CNRS - https://fyvo.github.io
Post-doctorante, mission défense et sécurité, Inria
Thèse: Dimensions de variation de la parole spontanée pour l'étude inter-corpus des performances de systèmes de reconnaissance automatique de la parole (https://theses.fr/s252448)
Hacker, Computational Neuroscience, ML beyond logistic regression, bear and muscle spindle aficionado. Passionate about open source. #deeplabcut and see https://mathislab.org for more.
Professor of Natural and Artificial Intelligence @Stanford. Safety and alignment @GoogleDeepMind.
Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
Scientist 👩🔬 & EPFL Prof 🇨🇭 | DeepLabCut.org , 🦓 cebra.ai | neuroscience & ML 🧠 mackenziemathislab.org | ✨CSO at Kinematik.ai | occasionally 🐦⬛birds/🌱outdoors/🍣food/👠fashion
Professor at UW; Researcher at Meta. LMs, NLP, ML. PNW life.
EPFL Professor, Co-Director EPFL AI Center, digital epidemiologist, CH++
Prof at EPFL
AI • Climbing
Professor at EPFL. Une mathémaphysinformaticienne. Passionate mushroom hunter. Tamer of two little dragons.
NeuroAI Prof @EPFL 🇨🇭. ML + Neuro 🤖🧠. Brain-Score, CORnet, Vision, Language. Previously: PhD @MIT, ML @Salesforce, Neuro @HarvardMed, & co-founder @Integreat. go.epfl.ch/NeuroAI
BS,MA,PhD, Media advocacy, Science Journalist & Communication expert
PhD candidate at EPFL doing research in #NLProc
👩🏻💻 https://agromanou.github.io/
PhD Student @ Princeton CITP | Computational Social Science, NLP, Persuasion, Politics | he/him | https://frasalvi.github.io/
Ethical/Responsible AI. Rigor in AI. Grumpy eastern european in north america. Lovingly nitpicky.
Stanford CS PhD student | hci, human-centered AI, social computing, responsible AI (+ dance, design, doodling!)
michelle123lam.github.io
Professor in the School of Computing at KAIST. HCI and Human-AI Interaction researcher. Director of kixlab.org. juhokim.com
Assistant Professor @ UChicago CS/DSI (NLP & HCI) | Writing with AI ✍️
https://minalee-research.github.io/
assistant prof at Johns Hopkins CS
PhD student at Johns Hopkins University
Alumni from McGill University & MILA
Working on NLP Evaluation, Responsible AI, Human-AI interaction
she/her 🇨🇦
Associate professor in NLP, engaged citizen. Tweeting about work, life and stuffs that I care about. All my tweets can be used freely. @zehavoc@mastodon.social @zehavoc (@twitter)
Senior Research Scientist at Google DeepMind.
🌐 jasmijn.bastings.me
Professor at the University of Copenhagen. Explainable AI, Natural Language Processing, ML. Head of copenlu.bsky.social lab.
#NLProc #NLP #XAI
http://isabelleaugenstein.github.io/
assistant professor in computer science / data science at NYU. studying natural language processing and machine learning.
NYU professor, Google research scientist. Good at LaTeX.
Faculty at Johns Hopkins University in Computer Science
Working on NLP and computational social science
Assistant Professor in Computer Science at USC | NLP, ML
pedestrian and straphanger, reluctantly in california, natural language processor, contentedly irrational, humanist | no kings, no masters, no ghosts
fiat veritas, et pereat mundus
Asst Prof @UMD Info College. NLP, computational social science, political communication, linguistics. Past: Data Science Postdoc @UChicago, Info PhD @UMich, CS + Lx @Stanford. Interests: cats, Yiddish, talking to my cats in Yiddish.
Asst prof @ University of Utah · NLP · she/her 🇭🇷
assistant professor, @ltiatcmu.bsky.social. machine learning: LLMs and climate. 🏳️🌈🏳️⚧️ they/them/dad (2 dogs).
pro-AI, anti-capitalist, anti-fascist.
Website: strubell.github.io
Postdoc in the DILL lab at USC. Cornell CS PhD. gyauney.github.io
NLP/AI Research
Assistant Professor @Yale
Assistant Professor of CS, University of Southern California. NLP / ML.
He teaches information science at Cornell. http://mimno.infosci.cornell.edu
Associate professor of computer science at Northeastern University. Natural language processing, digital humanities, OCR, computational bibliography, and computational social sciences. Artificial intelligence is an archival science.
PhD supervised by Tim Rocktäschel and Ed Grefenstette, part time at Cohere. Language and LLMs. Spent time at FAIR, Google, and NYU (with Brenden Lake). She/her.
Waiting on a robot body. All opinions are universal and held by both employers and family. ML/NLP professor.
nsaphra.net
"The Causal Guy" http://causalpython.io
Author || Advisor || Educator
Host at http://CausalBanditsPodcast.com
Causal ML Tutor @ Uni of Oxford
CausalSky: https://bsky.app/profile/did:plc:imz3rf35poonl7yxt7bogui4/feed/aaamrclcu3tfa
🥇 LLMs together (co-created model merging, BabyLM, textArena.ai)
🥈 Spreading science over hype in #ML & #NLP
Proud shareLM💬 Donor
@IBMResearch & @MIT_CSAIL
#NLP / #NLProc , #dataScience, #AI / #ArtificialIntelligence, #linguistics (#syntax, #semantics, …), occasional #parenting, #gardening, & what not. PhD. Adjunct prof once in a full red moon. Industry / technical mentor. Not my opinion, never my employer’s
PhD at EPFL with Robert West, Master at ETHZ
Mainly interested in Language Model Interpretability and Model Diffing.
MATS 7.0 Winter 2025 Scholar w/ Neel Nanda
jkminder.ch
ml/nlp phding @ usc, currently visiting harvard, scientisting @ startup;
interpretability & training & reasoning
iglee.me
PhD student @ University of Cambridge, focusing on Explainability and Interpretability for GNNs
Explainability of deep neural nets and causality https://tfjgeorge.github.io/
Assistant Professor, University of Copenhagen; interpretability, xAI, factuality, accountability, xAI diagnostics https://apepa.github.io/
AI Evaluation and Interpretability @MicrosoftResearch, Prev PhD @CMU.
PhD in ML/AI | Researching Efficient ML/AI (vision & language) 🍀 & Interpretability | @SapienzaRoma @EdinburghNLP | https://alessiodevoto.github.io/ | ex @NVIDIA
Research scientist at Google DeepMind.
Intersection of cognitive science and AI. Reinforcement learning, decision making, structure learning, abstraction, cognitive modeling, interpretability.
Sr. Principal Research Manager at Microsoft Research, NYC // Machine Learning, Responsible AI, Transparency, Intelligibility, Human-AI Interaction // WiML Co-founder // Former NeurIPS & current FAccT Program Co-chair // Brooklyn, NY // http://jennwv.com
Machine Learning PhD at UPenn. Interested in the theory and practice of interpretable machine learning. ML Intern@Apple.
Assistant Professor @ University of Cambridge.
Responsible AI. Human-AI Collaboration. Interactive Evaluation.
umangsbhatt.github.io
Machine Learning Researcher | PhD Candidate @ucsd_cse | @trustworthy_ml
chhaviyadav.org
Assistant Professor @RutgersCS • Previously @MSFTResearch, @dukecompsci, @PinterestEng, @samsungresearch • Trustworthy AI • Interpretable ML • https://lesiasemenova.github.io/
Assistant Professor @ Harvard SEAS specializing in human-computer and human-AI interaction. Also interested in visualization, digital humanities, urban design.
ML researcher, building interpretable models at Guide Labs (guidelabs.bsky.social).
