David Alvarez-Melis
Professoring at Harvard || Researching at MSR || Previously: MIT CSAIL, NYU, IBM Research, ITAM
@lisaalaz.bsky.social
#ML & #NLP PhD student at Imperial College London. Prev. research intern @ Cohere and Google Research. Reasoning and planning with foundation models 🧠 She/her
@gershbrain.bsky.social
Professor, Department of Psychology and Center for Brain Science, Harvard University https://gershmanlab.com/
@neurovenki.bsky.social
Neuroscience Professor at Harvard University. Personal account and posts here. Research group website: https://vnmurthylab.org.
@krvarshney.bsky.social
I wrote a book. Free pdf: http://trustworthymachinelearning.com Paperback: http://amazon.com/dp/B09SL5GPCD Posts are my own and don't necessarily represent IBM.
@datatherapist.bsky.social
#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
@cassidoo.co
Making memes, dreams, & software! Sr. Director of Dev Advocacy at GitHub. Married to a dweeb and mom to a nerdy toddler. She/Her ✝️ CHI 🏠 Subscribe to my newsletter! cassidoo.co/newsletter
@rtommccoy.bsky.social
Assistant professor at Yale Linguistics. Studying computational linguistics, cognitive science, and AI. He/him.
@weratedogs.com
Your Only Source For Professional Dog Ratings nonprofit: @15outof10.org ❤️🩹 links.weratedogs.com
@msftresearch.bsky.social
We advance science and technology to benefit humanity. http://microsoft.com/research
@skiandsolve.bsky.social
⛷️ ML Theorist carving equations and mountain trails | 🚴♂️ Biker, Climber, Adventurer | 🧠 Reinforcement Learning: Always seeking higher peaks, steeper walls and better policies. https://ualberta.ca/~szepesva
@paularodrid.bsky.social
PhD Candidate at Harvard. Interested in algorithmic decision-making, data-centric ML, and applications to public sector operations
@diyiyang.bsky.social
Assistant Professor @Stanford CS @StanfordNLP @StanfordAILab Computational Social Science & NLP
@isabelpapad.bsky.social
(jolly good) Fellow at the Kempner Institute, incoming assistant professor at UBC Linguistics (Sept 2025) isabelpapad.com
@colah.bsky.social
Reverse engineering neural networks at Anthropic. Previously Distill, OpenAI, Google Brain.Personal account.
@yonashav.bsky.social
policy for v smart things @openai. Past: PhD @HarvardSEAS/@SchmidtFutures/@MIT_CSAIL. Posts my own; on my head be it
@giffmana.ai
Researcher (OpenAI. Ex: DeepMind, Brain, RWTH Aachen), Gamer, Hacker, Belgian. Anon feedback: https://admonymous.co/giffmana 📍 Zürich, Suisse 🔗 http://lucasb.eyer.be
@natashajaques.bsky.social
Assistant Professor at UW and Senior Research Scientist at Google DeepMind. Social Reinforcement Learning in multi-agent and human-AI interactions. PhD from MIT. Check out https://socialrl.cs.washington.edu/ and https://natashajaques.ai/.
@aaclmeeting.bsky.social
The Asia-Pacific Chapter of the Association for Computational Linguistics The 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL 2025) https://www.afnlp.org/conferences/ijcnlp2025 #AACL2025 #NLProc #NLP
@emnlpmeeting.bsky.social
EMNLP 2025 - The annual Conference on Empirical Methods in Natural Language Processing Dates: November 5-9, 2025 in Suzhou, China Hashtags: #EMNLP2025 #NLP Submission Deadline: May 19th, 2025
@naaclmeeting.bsky.social
Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics
@suryaganguli.bsky.social
Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
@dianarycai.bsky.social
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science. www.dianacai.com
@reniebird.bsky.social
Former AI Policy Advisor in the US Senate. Current Law and Society Fellow at UC Berkeley Simons Institute. Incoming Prof at Brown University. PhD at MIT CSAIL '23, Harvard '16, former Google APM. Dog mom to NSDTR Ducki.
@henstr.bsky.social
Senior Research Scientist at IBM Research and Explainability lead at the MIT-IBM AI Lab in Cambridge, MA. Interested in all things (X)AI, NLP, Visualization. Hobbies: Social chair at #NeurIPS, MiniConf, Mementor-- http://hendrik.strobelt.com
@brandfonbrener.bsky.social
Research scientist at Meta on the llama team Thinking about language models Past: PhD at NYU, fellow at Harvard’s Kempner Institute
@aldopareja.bsky.social
Foundation models | instruction tuning | comp cogsci @mit-ibm @ibm-research @redhat
@emalach.bsky.social
Research Fellow @ Kempner Institute, Harvard University Theory of Deep Learning / Learning of Deep Theory
@fxbriol.bsky.social
Associate Professor at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
@csprofkgd.bsky.social
#CS Associate Prof York University, #ComputerVision Scientist Samsung #AI, VectorInst Faculty Affiliate, TPAMI AE, ELLIS4Europe Member, #CVPR2025 Publicity Chair on X 📍Toronto 🇨🇦 🔗 csprofkgd.github.io 🗓️ Joined Nov 2024
@sivareddyg.bsky.social
Assistant Professor @Mila-Quebec.bsky.social Co-Director @McGill-NLP.bsky.social Researcher @ServiceNow.bsky.social Alumni: @StanfordNLP.bsky.social, EdinburghNLP Natural Language Processor #NLProc
@davidpicard.bsky.social
Computer Vision/Machine Learning research Imagine/LIGM, École nationale des Ponts et Chaussées @ecoledesponts.bsky.social Music & overall happiness 🌳🪻 Born well below 350ppm 📍Paris 🔗 https://davidpicard.github.io/
@prescientdesign.bsky.social
A Genentech Accelerator gene.com/prescient https://scholar.google.com/citations?user=HVfvEVoAAAAJ
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@adinawilliams.bsky.social
NLP, Linguistics, Cognitive Science, AI, etc. Job currently: Research Scientist (NYC) Job formerly: NYU Linguistics, MSU Linguistics
@arimorcos.bsky.social
CEO and Co-founder @ DatologyAI working to make it easy for anyone to make the most of their data. Former: RS FAIR, RS DeepMind, Harvard Neuroscience PhD. www.datologyai.com
@inference.vc
Secular Bayesian. Professor of Machine Learning at Cambridge Computer Lab Talent aficionado at http://airetreat.org Alum of Twitter, Magic Pony and Balderton Capital
@djfoster.bsky.social
Principal Researcher in AI/ML/RL Theory @ Microsoft Research NE/NYC. Previously @ MIT, Cornell. http://dylanfoster.net RL Theory Lecture Notes: https://arxiv.org/abs/2312.16730
@mcarbin.bsky.social
Associate Professor in EECS at @MIT | Principal Scientist at @Databricks | Founding Advisor at @mosaicml | Programming Systems | Neural Networks | Approximate Computing
@viegas.bsky.social
Human/AI Interaction and data visualization. Professor at Harvard. Co-founder of Google's People+AI Research initiative (PAIR)
@jasonweston.bsky.social
Senior Director, Research Scientist @ Meta FAIR + Visiting Prof @ NYU. Pretrain+SFT: NLP from Scratch (2011). Multilayer attention+position encode+LLM: MemNet (2015). Recent (2024): Self-Rewarding LLMs & more!
@lateinteraction.bsky.social
Incoming asst professor at MIT EECS, Fall 2025. Research scientist at Databricks. CS PhD @StanfordNLP.bsky.social. Author of ColBERT.ai & DSPy.ai.
@neuripsconf.bsky.social
The Thirty-Eighth Annual Conference on Neural Information Processing Systems will be held in Vancouver Convention Center, on Tuesday, Dec 10 through Sunday, Dec 15. https://neurips.cc/
@moberst.bsky.social
Assistant Prof. of CS at Johns Hopkins Visiting Scientist at Abridge AI Causality & Machine Learning in Healthcare Prev: PhD at MIT, Postdoc at CMU
@vveitch.bsky.social
machine learning and artificial intelligence | University of Chicago / Google
@ccanonne.bsky.social
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.