Angus Nicolson
DPhil student at University of Oxford. Researcher in interpretable AI for medical imaging. Supervised by Alison Noble and Yarin Gal.
@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/
@cvprconference.bsky.social
Official account for IEEE/CVF Conference on Computer Vision & Pattern Recognition. Hosted by @deblinaml @jbhaurum & @CSProfKGD 📍🌎 🔗 cvpr.thecvf.com 🎂 June 19, 1983
@iccv.bsky.social
Official account for the IEEE/CVF International Conference on Computer Vision. #ICCV2025 Honolulu 🇺🇸 Co-hosted by @natanielruiz @antoninofurnari @yaelvinker @CSProfKGD
@jnkt.bsky.social
Medical Doctor | Clinical Artificial Intelligence | Professor of Medicine and Computer Science at TU Dresden, Germany | X: jnkath | web: www.kather.ai
@zettinig.eu
Proud dad. PhD in Medical Imaging. Passionate European. Austrian in Greece. Head of Ultrasound group at imfusion.com, bringing intra-operative 3D ultrasound to the next level. Personal website: www.zettinig.eu
@felwag.bsky.social
PhD student at University of Oxford 💻 Computer Vision for Medicine | Federated Learning 🖥️👨💻
@moritzknolle.bsky.social
Researching trustworthy and privacy-preserving AI for Medicine @TUM
@azadef.bsky.social
Postdoc @ TU Munich Computer Vision, Scene Graphs, Generative Models https://www.cs.cit.tum.de/en/camp/members/azade-farshad/
@raghavm93.bsky.social
PostDoc @Imperial | Medical Imaging + Machine Learning | PhD from @mcgillu @Mila_Quebec | MS from @iiit_hyderabad | XIntern @MetaAI
@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
@hbogunovic.bsky.social
Research in Machine Learning for Medical Imaging and Health with special interest in in Ophthalmology. Prof of Medical Image Computing at Medical University od Viena
@harryanthony.bsky.social
PhD (DPhil) student at University of Oxford | Reliable AI for medical image analysis | PR Officer for the MICCAI Student Board 2024
@brats2025.bsky.social
Official Account of MICCAI BraTS 2025 Lighthouse Challenge Led by Mariam Aboian MD PhD and https://www.imaginequant.org/ YouTube: https://www.youtube.com/@brats_mets_2025_lighthouse X: https://x.com/BraTS_Mets_2025 Instagram: https://www.instagram.com/br
@melanieganzben1.bsky.social
Associate prof at DIKU UCPH; Researcher at NRU Rigshospitalet; interested in neuroimaging, MRI/PET, data sharing/BIDS, motion correction, bias and fairness in ML
@bgalerne.bsky.social
Professor in applied mathematics at University of Orléans 🇫🇷 & IUF Junior 2022 on an innovation chair. Interested in image processing and deep generative models. I teach generative models for imaging at #MasterMVA.
@stvrb.bsky.social
PhD candidate @UofT @VectorInst. Reliable, safe, trustworthy machine learning.
@davidruegamer.bsky.social
Associate Prof @ LMU Munich PI @ Munich Center for Machine Learning Ellis Member Associate Fellow @ relAI ----- https://davidruegamer.github.io/ | https://www.muniq.ai/ ----- BNNs, UQ in DL, DL theory (Overparam, Implicit Bias, Optim), Sparsity
@tmlr-pub.bsky.social
TMLR Homepage: https://jmlr.org/tmlr/ TMLR Infinite Conference: https://tmlr.infinite-conf.org/
@tmlrorg.bsky.social
Transactions on Machine Learning Research (TMLR) is a new venue for dissemination of machine learning research https://jmlr.org/tmlr/
@maximek3.bsky.social
Medical vision-language, interp @ Univ of Oxford & Memorial Sloan Kettering Cancer Center
@fedeadolfi.bsky.social
Computation & Complexity | AI Interpretability | Meta-theory | Computational Cognitive Science https://fedeadolfi.github.io
@romapatel.bsky.social
research scientist @deepmind. language & multi-agent rl & interpretability. phd @BrownUniversity '22 under ellie pavlick (she/her) https://roma-patel.github.io
@stellaathena.bsky.social
I make sure that OpenAI et al. aren't the only people who are able to study large scale AI systems.
@christophmolnar.bsky.social
Author of Interpretable Machine Learning and other books Newsletter: https://mindfulmodeler.substack.com/ Website: https://christophmolnar.com/
@mimansaj.bsky.social
Robustness, Data & Annotations, Evaluation & Interpretability in LLMs http://mimansajaiswal.github.io/
@variint.bsky.social
Enjoy not enjoying ideals | Interpretability of modular convnets applied to 👁️ and 🛰️🐝 | she/her 🦒💕 variint.github.io
@mdlhx.bsky.social
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)
@stephaniebrandl.bsky.social
Assistant Professor in NLP (Fairness, Interpretability and lately interested in Political Science) at the University of Copenhagen ✨ Before: PostDoc in NLP at Uni of CPH, PhD student in ML at TU Berlin
@martinagvilas.bsky.social
Computer Science PhD student | AI interpretability | Vision + Language | Cogntive Science. https://martinagvilas.github.io/
@jbarbosa.org
Junior PI @ INM (Paris) in computational neuroscience, interested in how computations enabling cognition are distributed across brain areas. Expect neuroscience and ML content. jbarbosa.org
@kylem.bsky.social
Full of childlike wonder. Building friendly robots. UT Austin PhD student, MIT ‘20.
@bharathr98.com
Theoretical physicist at day. ML researcher at night. Currently split between CERN and UniGE. Ex - IISER-M, @caltech.edu https://scholar.google.com/citations?user=8BDAnVAAAAAJ
@annarogers.bsky.social
Associate professor at IT University of Copenhagen: NLP, language models, interpretability, AI & society. Co-editor-in-chief of ACL Rolling Review. #NLProc #NLP
@jeku.bsky.social
Postdoc at Linköping University🇸🇪. Doing NLP, particularly explainability, language adaptation, modular LLMs. I‘m also into🌋🏕️🚴.
@sejdino.bsky.social
Professor of Statistical Machine Learning at the University of Adelaide. https://sejdino.github.io/
@thomasfel.bsky.social
Explainability, Computer Vision, Neuro-AI.🪴 Kempner Fellow @Harvard. Prev. PhD @Brown, @Google, @GoPro. Crêpe lover. 📍 Boston | 🔗 thomasfel.me
@panisson.bsky.social
Principal Researcher @ CENTAI.eu | Leading the Responsible AI Team. Building Responsible AI through Explainable AI, Fairness, and Transparency. Researching Graph Machine Learning, Data Science, and Complex Systems to understand collective human behavior.
@apepa.bsky.social
Assistant Professor, University of Copenhagen; interpretability, xAI, factuality, accountability, xAI diagnostics https://apepa.github.io/
@sarahwiegreffe.bsky.social
Research in NLP (mostly LM interpretability & explainability). Incoming assistant prof at UMD CS + CLIP. Current postdoc @ai2.bsky.social & @uwnlp.bsky.social Views my own. sarahwie.github.io
@swetakar.bsky.social
Machine learning PhD student @ Blei Lab in Columbia University Working in mechanistic interpretability, nlp, causal inference, and probabilistic modeling! Previously at Meta for ~3 years on the Bayesian Modeling & Generative AI teams. 🔗 www.sweta.dev
@wordscompute.bsky.social
nlp/ml phding @ usc, interpretability & reasoning & pretraining & emergence 한american, she, iglee.me, likes ??= bookmarks
@velezbeltran.bsky.social
Machine Learning PhD Student @ Blei Lab & Columbia University. Working on probabilistic ML | uncertainty quantification | LLM interpretability. Excited about everything ML, AI and engineering!
@mdhk.net
Linguist in AI & CogSci 🧠👩💻🤖 PhD student @ ILLC, University of Amsterdam 🌐 https://mdhk.net/ 🐘 https://scholar.social/@mdhk 🐦 https://twitter.com/mariannedhk
@lasha.bsky.social
✨On the faculty job market✨ Postdoc at UW, working on Natural Language Processing 🌐 https://lasharavichander.github.io/