@hylandsl.bsky.social
machine learning for health at microsoft research, based in cambridge UK 🌻 she/her
@facct.bsky.social
ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT). June 23rd to June 26th, 2025, in Athens, Greece. #FAccT2025 https://facctconference.org/
@mplsoxford.bsky.social
The University of Oxford leads the UK in mathematical, physical, engineering, computing and life sciences research.
@fcalmon.bsky.social
Associate Professor @Harvard SEAS. Information theorist, but only asymptotically.
@bwpapiez.bsky.social
researcher/prof @bdi_oxford, @Oxford_NDPH, @HDR_UK lecturer/tutor (information engineering) @SPC_Oxford, @lmhoxford #ai #data for better #health & #society see more: https://www.bdi.ox.ac.uk/Team/bartek-papiez
@kostaskamnitsas.bsky.social
Assoc Prof - ML for Medical Imaging - Univ of Oxford, Dept Engineering Co-Director CDT Healthcare Data Science Honor. Res. Fellow Imperial College & Univ of Birmingham Creator http://deepmedic.org
@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/
@nichols.bsky.social
Professor of Neuroimaging Statistics Oxford Big Data Institute Nuffield Department of Population Health University of Oxford
@stephenpfohl.bsky.social
Research scientist at Google. Previously Stanford Biomedical Informatics. Researching #fairness #equity #robustness #transparency #causality #healthcare
@harryanthony.bsky.social
PhD (DPhil) student at University of Oxford | Reliable AI for medical image analysis | PR Officer for the MICCAI Student Board 2024
@dr-nyamewaa.bsky.social
Senior Research Scientist, Google Research. Passionate about using technology to democratize health. Personal website: www.mercynasiedu.com
@ramandutt4.bsky.social
Generative AI @Noah's Ark Lab, Huawei & @TuringInstitute | PhD candidate in Biomedical AI @ University of Edinburgh | Efficient Fine-Tuning in Medical AI, Diffusion Models, Autoregressive Image Generation
@mkearnsphilly.bsky.social
CS prof at Penn, Amazon Scholar in AWS. Interested in ML theory and related topics, as well as photography and Gilbert and Sullivan. Website: www.cis.upenn.edu/~mkearns
@oxfordstatistics.bsky.social
We're the Department of Statistics at the University of Oxford (UK). We provide teaching & complete research on computational statistics and statistical methodology, probability, bioinformatics and mathematical genetics. https://www.stats.ox.ac.uk/
@psaha.bsky.social
DPhil (PhD) Candidate #medical #computervision #AI @UniofOxford @oxengsci @NobleLabOxford working on Multimodal Learning, Federated Learning, and Semi-supervised Learning with Alison Noble | MASc @ECEUBC with Sidney Fels https://pramitsaha.github.io/
@yoshuabengio.bsky.social
Working towards the safe development of AI for the benefit of all at Université de Montréal, LawZero and Mila. A.M. Turing Award Recipient and most-cited AI researcher. https://lawzero.org/en https://yoshuabengio.org/profile/
@datologyai.com
AI models are what they eat. Optimize training efficiency, maximize performance, and reduce compute costs with our expert curation.
@annieulichney.bsky.social
Statistics PhD student @UCBerkeley http://aulichney.github.io/
@aparnabee.bsky.social
PhD student @MIT. Previously: @Uoft/@VectorInst, @winterlightlabs, and @IITGuwahati
@njw.fish
Using computers to read the entrails of modernity (statistics, optimization, machine learning), focused on applications in the social and biological sciences. Currently: Stats PhD @Harvard Previously: CS/Soc @Stanford, Stat/ML @Oxford https://njw.fish
@adoubleva.bsky.social
Researcher at Google DeepMind | organizer afciworkshop.org | research interests: causality, algorithmic fairness
@angusjnic.bsky.social
DPhil student at University of Oxford. Researcher in interpretable AI for medical imaging. Supervised by Alison Noble and Yarin Gal.
@zacharylipton.bsky.social
Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
@cohereforai.bsky.social
@Cohere.com's non-profit research lab and open science initiative that seeks to solve complex machine learning problems. Join us in exploring the unknown, together. https://cohere.com/research
@sarahooker.bsky.social
I lead Cohere For AI. Formerly Research Google Brain. ML Efficiency, LLMs, @trustworthy_ml.
@yann-lecun.bsky.social
Professor a NYU; Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate. http://yann.lecun.com