James Hensman
Trying to make all the AIs more efficient. Former Gaussian process connoisseur. Researcher at Microsoft Research.
@justlubomerkov.bsky.social
Walk on, walk on, with hope in your heart… #YNWA he/him/his (but not passionate about it)
@jcornebise.bsky.social
Hon. Associate Professor UCL CS | Ex-Dir. Research AI for Good & Head of Element AI London Office | Ex-DeepMind. He/Him | https://cornebise.com
@alexpolozov.com
Sr. Staff Research Scientist @ Google DeepMind • previously Google X, Microsoft Research, UW • program synthesis, AI for Code and SWE • he/him • alexpolozov.com
@soldaini.net
I like tokens! Lead for OLMo data at @ai2.bsky.social (Dolma 🍇) w @kylelo.bsky.social. Open source is fun 🤖☕️🍕🏳️🌈 Opinions are sampled from my own stochastic parrot more at https://soldaini.net
@xkcd.com
@niklaswretblad.bsky.social
AI researcher currently working for the Reasoning and Learning Lab @ Linköping University. Spend most of my time building multilingual foundation models for the Germanic languages through the TrustLLM EU Horizon project 🇪🇺
@iamjbd.bsky.social
🤗 ML at Hugging Face 🌲 Academic Staff at Stanford University (AIMI Center) 🦴 Radiology AI is my stuff
@andrewbeasleyfootball.com
Freelance football writer. Links to all my stuff via https://linktr.ee/basstunedtored. Only Connect champion, New York Mets fan #LGM. Up the Reds #LFC
@iclr-conf.bsky.social
International Conference on Learning Representations https://iclr.cc/
@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/
@houseofcommons.parliament.uk
Where elected MPs represent the public, legislate, and scrutinise the Government. Find out more about their work and how Parliament happens.
@houseoflords.parliament.uk
News & information from the UK Parliament’s second chamber. Produced by its staff to show how the Lords checks and challenges the UK government. https://www.parliament.uk/business/lords/
@jmtomczak.bsky.social
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
@hannawallach.bsky.social
VP and Distinguished Scientist at Microsoft Research NYC. AI evaluation and measurement, responsible AI, computational social science, machine learning. She/her. One photo a day since January 2018: https://www.instagram.com/logisticaggression/
@sosentos.bsky.social
Building a co-pilot for hardware designers at Vinci4d. Formerly SVP of Engineering Iron Ox. WiML president, COO Mayfield Robotics Roboticist/Machine Learning Researcher
@brownsarahm.com
Assistant Professor in CS: researching ML/AI in sociotechnical systems & teaching Data Science and Dev tools with an emphasis responsible computing New Englander, NSBE lifetime member profile pic: me in a purplish sweater with math vaguely on the w
@sashamtl.bsky.social
Climate & AI Lead @HuggingFace, TED speaker, WiML board member, TIME AI 100 (She/her/Dr/🦋)
@jessicaschrouff.bsky.social
Director of Responsible AI @GSK | Interested in Responsible AI, AI for healthcare, fairness and causality | Prev. Google DeepMind, Google Health, UCL, Stanford, ULiege | WiML board/volunteer. She/her.
@kat-heller.bsky.social
Machine Learning researcher. Former stats faculty. Works for Google Research, and on better days, herself.
@kristinmbranson.bsky.social
Researcher in machine learning and computer vision for science. Senior Group Leader at HHMI Janelia Research Campus. Supporter of DEIB in science and tech. CV: https://bit.ly/BransonCV
@timnitgebru.bsky.social
Personal Account Founder: The Distributed AI Research Institute @dairinstitute.bsky.social. Author: The View from Somewhere, a memoir & manifesto arguing for a technological future that serves our communities (to be published by One Signal / Atria
@milago.bsky.social
PhD student in Machine Learning @ MPI-IS Tübingen, Tübingen AI Center, IMPRS-IS
@paularodrid.bsky.social
PhD Candidate at Harvard. Interested in algorithmic decision-making, data-centric ML, and applications to public sector operations
@strubell.bsky.social
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
@sarameghanbeery.bsky.social
Research on AI and biodiversity 🌍 Asst Prof at MIT CSAIL, AI for Conservation slack and CV4Ecology founder #QueerInAI 🏳️🌈
@mchll-ln.bsky.social
ML for remote sensing @Mila_Quebec * UdeM x McGill CS alum Interests: Responsible ML for climate & societal impacts, STS, FATE, AI Ethics & Safety prev: SSofCS lab 📍🇨🇦 Montreal (allegedly) TW: @XMichellelinX https://mchll-ln.github.io/
@mirianfsilva.bsky.social
She/Her • AI Engineer @ IBM Research • MSc in AI @ UFMG 🇧🇷 | Interested in AI Ethics, Safety, ML fairness & bias mitigations • @blackinai👩🏽💻 (I’m trying to leave twitter🙂↕️) https://mirianfsilva.github.io
@cfiesler.bsky.social
information science professor (tech ethics + internet stuff) kind of a content creator (elsewhere also @professorcasey) though not influencing anyone to do anything except maybe learn things she/her
@pijselman.bsky.social
digital ethicist leading #responsibleAI and emerging tech risk work at BMO // 🇨🇦🇬🇧 AI • quantum • data // oxford • university of toronto // video game enthusiast all views my own
@madesai.bsky.social
PhD student at University of Michigan School of Information. Data and evaluation for language models / language models as cultural technologies. https://meera-desai.com
@shirandudy.bsky.social
A research scientist @Northeastern #AIEthics, #ResponsibleAI (she/her) Work on amplifying voices that we should hear more. My research is on cultural representation and perspective communication in AI. https://www.shirandudy.com
@laura-rieger-de.bsky.social
Postdoc at DTU Energy working on machine learning for modelling material science. Currently on a research stay at Sam Coopers group, Imperial College London
@marinecarpuat.bsky.social
Associate Professor in Computer Science at the University of Maryland. Human-Centered Natural Language Processing & Machine Translation
@alizeepace.bsky.social
Gemini Post-Training @ Google DeepMind Previously: ETH Zurich, Cambridge, CERN alizeepace.com
@lakshyaaagrawal.bsky.social
PhD @ucberkeleyofficial.bsky.social | Past: AI4Code Research Fellow @msftresearch.bsky.social | Summer @EPFL Scholar, CS and Applied Maths @IIITDelhi | Hobbyist Saxophonist https://lakshyaaagrawal.github.io Maintainer of https://aka.ms/multilspy
@drfeifei.bsky.social
Prof (CS @Stanford), Co-Director @StanfordHAI, Cofounder/CEO @theworldlabs, CoFounder @ai4allorg #AI #computervision #robotics #AI-healthcare
@djsutherland.ml
machine learning asst prof at @cs.ubc.ca and amii statistical testing, kernels, learning theory, graphs, active learning… she/her, 🏳️⚧️, @queerinai.com
@amcrisan.bsky.social
Assistant Professor, University of Waterloo. I try to help people make informed decisions with data. #HCI, #Viz, applied #AI/#ML.
@adoubleva.bsky.social
Researcher at Google DeepMind | organizer afciworkshop.org | research interests: causality, algorithmic fairness
@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/
@smhall97.bsky.social
🇿🇦 | Fairness in AI | University of Oxford | Deep Learning Indaba | Internships: Google DeepMind || Microsoft Research
@emmharv.bsky.social
PhD student @ Cornell info sci | Sociotechnical fairness & algorithm auditing | Previously MSR FATE, Penn | https://emmaharv.github.io/
@aolteanu.bsky.social
Ethical/Responsible AI. Rigor in AI. Opinions my own. Principal Researcher @ Microsoft Research.
@jennwv.bsky.social
Sr. Principal Researcher 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 // More at http://jennwv.com
@angelinawang.bsky.social
Postdoc at Stanford HAI | ML fairness and algorithmic bias | incoming Asst Prof at Cornell Info Sci and Cornell Tech https://angelina-wang.github.io/