Xiaoyan Bai
PhD @UChicagoCS / BE in CS @Umich / ✨AI/NLP transparency and interpretability/📷🎨photography painting
@blackboxnlp.bsky.social
The largest workshop on analysing and interpreting neural networks for NLP. BlackboxNLP will be held at EMNLP 2025 in Suzhou, China blackboxnlp.github.io
@zhijingjin.bsky.social
Assi. Prof @UofTCompSci. Postdoc @MPI_IS w/ @bschoelkopf. Research on (1) @CausalNLP and (2) NLP4SocialGood @NLP4SG. Mentor & mentee @ACLMentorship.
@oanaignat.bsky.social
Assistant Professor at SCU: #NLP #AI. PhD and Postdoc in CS at Umich. Intern at Meta and Amazon. Co-host at ACL Mentorship.
@radamihalcea.bsky.social
Janice M. Jenkins Collegiate Professor of Computer Science at U. Michigan, Director Michigan AI Lab, Former ACL President, AAAI Fellow, ACM Fellow. Researcher #NLProc #AI 🔗 https://web.eecs.umich.edu/~mihalcea/
@qiaoyu-rosa.bsky.social
Final year NLP PhD student at UChicago. Explainability, reasoning, and hypothesis generation!
@viegas.bsky.social
Human/AI Interaction and data visualization. Professor at Harvard. Co-founder of Google's People+AI Research initiative (PAIR)
@canrager.bsky.social
@yidachen.bsky.social
CS PhD student at Harvard. Interested in Interpretability 🔍, Visualizations 📊, Human-AI Interaction🧍🤖. All opinions are mine. https://yc015.github.io/
@colah.bsky.social
Reverse engineering neural networks at Anthropic. Previously Distill, OpenAI, Google Brain.Personal account.
@gandhikanishk.bsky.social
PhD Student Stanford w/ Noah Goodman, studying reasoning, discovery, and interaction. Trying to build machines that understand people. StanfordNLP, Stanford AI Lab
@nlpxuhui.bsky.social
PhD student @ltiatcmu.bsky.social. Previously, @ai2.bsky.social, @uwnlp.bsky.social, @appleinc.bsky.social, @ucberkeleyofficial.bsky.social; Social Intelligence in language +X. He/Him.🐳
@petercomrie.bsky.social
Co-Founder and Human Capital Specialist at Full Spectrum Leadership Inc. Publisher of WBN News Okanagan and Publisher of WBN News Winnipeg "Speak your mind to me, even if your voice quakes". bit.ly/49RbePP
@giuseppe88.bsky.social
Senior Lecturer and Researcher @LMU_Muenchen working on #ExplainableAI / #interpretableML and #OpenML
@jurodemann.bsky.social
http://www.julian-rodemann.de | PhD student in statistics @LMU_Muenchen | currently @HarvardStats
@davidjurgens.bsky.social
Associate prof at @UMich in SI and CSE working in computational social science and natural language processing. PI of the Blablablab blablablab.si.umich.edu
@sraval.bsky.social
Physics, Visualization and AI PhD @ Harvard | Embedding visualization and LLM interpretability | Love pretty visuals, math, physics and pets | Currently into manifolds Wanna meet and chat? Book a meeting here: https://zcal.co/shivam-raval
@ndif-team.bsky.social
The National Deep Inference Fabric, an NSF-funded computational infrastructure to enable research on large-scale Artificial Intelligence. 🔗 NDIF: https://ndif.us 🧰 NNsight API: https://nnsight.net 😸 GitHub: https://github.com/ndif-team/nnsight
@chicagohai.bsky.social
https://chicagohai.github.io/, https://substack.com/@cichicago
@alisto.bsky.social
PhD Candidate at the University of Maryland. Previously UChicago, UMaine.
@lexingxie.bsky.social
professor of CS Australian National U. Machine learning, social media, online markets. directs computational media lab http://cmlab.dev and integrated AI network http://ai.anu.edu.au
@mlamparth.bsky.social
Postdoc at @Stanford, @StanfordCISAC, Stanford Center for AI Safety, and the SERI program | Focusing on interpretable, safe, and ethical AI decision-making.
@seasnell.bsky.social
PhD @berkeley_ai; prev SR @GoogleDeepMind. I stare at my computer a lot and make things
@ari-holtzman.bsky.social
Assistant Professor @ UChicago CS & DSI UChicao Leading Conceptualization Lab http://conceptualization.ai Minting new vocabulary to conceptualize generative models.
@ellali.bsky.social
PhD student of @chiclab_nu and @nusealab.bsky.social at at Northeastern University. prev: @UMSI | Social Justice, Health Equity, Queer, Feminism｜🏳️🌈 🌏🕊 Mastodon: @[email protected] https://x.com/jiaqi_lll
@ruizheli.bsky.social
Assistant Professor at University of Aberdeen | Postdoc at UCL | PhD at University of Sheffield | mechanistic interpretability & multimodal LLMs | https://www.ruizhe.space
@emmapierson.bsky.social
Assistant professor of CS at UC Berkeley, core faculty in Computational Precision Health. Developing ML methods to study health and inequality. "On the whole, though, I take the side of amazement." https://people.eecs.berkeley.edu/~emmapierson/
@dsi-uchicago.bsky.social
A field-defining intellectual hub for data science research, education, and outreach at the University of Chicago. Follow us on IG & Tik Tok: DSI_UChicago
@ajyl.bsky.social
Post-doc @ Harvard. PhD UMich. Spent time at FAIR and MSR. ML/NLP/Interpretability
@bryant1410.bsky.social
🇺🇾 Research Scientist @Netflix, working on Vision+Language research. Opinions are my own.
@lawlessopt.bsky.social
Stanford MS&E Postdoc | Human-Centered AI & OR Prev: @CornellORIE @MSFTResearch, @IBMResearch, @uoftmie 🌈
@lbarquist.bsky.social
Assistant prof @ UofT, research group leader @ Helmholtz Institute for RNA-based Infection Research. Pathogen systems biology / informatics / functional genomics. Coastal New Hampshirite. Drink Moxie.
@nescioquid.bsky.social
“How Data Happened” with Chris Wiggins available now! Historian of science, AI/ML computing, sigint, and technology, Princeton
@thserra.bsky.social
Assistant professor at University of Iowa, formerly at Bucknell University, mathematical optimizer with an #orms PhD from Carnegie Mellon University, curious about scaling up constraint learning, proud father of two
@tbatchelli.org
Building the future of work with AI. Previously CTO at Peerspace. Love data, functional programming, AI and that kind of stuff. Father of 2 and husband of 1.
@hylandsl.bsky.social
machine learning for health at microsoft research, based in cambridge UK 🌻 she/her
@gavin-brown.bsky.social
Postdoc at UW CSE. Differential privacy, memorization in ML, and learning theory.
@berkustun.bsky.social
Assistant Prof at UCSD. I work on interpretability, fairness, and safety in ML. www.berkustun.com
@haileyjoren.bsky.social
PhD Student @ UC San Diego Researching reliable, interpretable, and human-aligned ML/AI
@eml-munich.bsky.social
Institute for Explainable Machine Learning at @www.helmholtz-munich.de and Interpretable and Reliable Machine Learning group at Technical University of Munich and part of @munichcenterml.bsky.social
@zootime.bsky.social
I work with explainability AI in a german research facility
@juffi-jku.bsky.social
Researcher Machine Learning & Data Mining, Prof. Computational Data Analytics @jkulinz.bsky.social, Austria.
@juliusad.bsky.social
ML researcher, building interpretable models at Guide Labs (guidelabs.bsky.social).
@elglassman.bsky.social
Assistant Professor @ Harvard SEAS specializing in human-computer and human-AI interaction. Also interested in visualization, digital humanities, urban design.
@chhaviyadav.bsky.social
Machine Learning Researcher | PhD Candidate @ucsd_cse | @trustworthy_ml chhaviyadav.org