I help ambitious people raise capital, get board seats, take companies public. Let's get more entrepreneurs and builders on bsky! Author of 4 best selling business books

SIGIR is the Association for Computing Machinery’s Special Interest Group on Information Retrieval. Since 1963, we have promoted research, development and education in the area of search and other information access technologies. Visit: https://sigir.org/

PhD Researcher @ the @uva.nl's ICAI @opengov.nl Lab | Information consultant @ Rijksorganisatie voor Informatiehuishouding | My work includes Information Retrieval, AI for Open Government, Generative Agents and Data Engineering!

Making invisible peer review contributions visible 🌟 Tracking 2,970 exceptional ARR reviewers across 1,073 institutions | Open source | arrgreatreviewers.org

Assistant Professor at Radboud University Information Retrieval- Natural Language Processing

Research Fellow at the University of Oxford | Multimodal ML PhD University of Amsterdam | Previously Microsoft Research, Google DeepMind, Bloomberg AI, Amazon Science, ETH, KU Leuven | MS AI, BS Computational Linguistics | WiML mariyahendriksen.github.io

The IRLab at University of Amsterdam, w/ Mohammad Aliannejadi, Evangelos Kanoulas, Maarten Marx, and Maarten de Rijke. Official website: https://irlab.science.uva.nl.

Working on Explainable AI in ML and Recommender Systems. PhD Candidate at IRLab Amsterdam and Jheronimus Academy of Data Science, supervised by Maarten de Rijke and Martijn Willemsen.

Machine learning and information retrieval researcher. | Assistant professor at Radboud University Nijmegen and visiting research scholar at Google DeepMind. | Previously at Google Research, Twitter and University of Amsterdam.

Visiting Scientist at Schmidt Sciences. Visiting Researcher at Stanford NLP Group Interested in AI safety and interpretability Previously: Anthropic, AI2, Google, Meta, UNC Chapel Hill

PhD Fellow at Universitetet i Oslo | Integreat - Norwegian Centre for Knowledge-driven Machine Learning

PhD student at @amlab.bsky.social Geometric deep learning + Generative modeling. 🇳🇱🇺🇸🇮🇳 Organizer @gram-org.bsky.social and @scifordl.bsky.social workshop 📍 Amsterdam/SF

Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions

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/

Associate Professor, CMU. Researcher, Google. Evaluation and design of information retrieval and recommendation systems, including their societal impacts.

for cracked engineers: https://www.crackedengineers.com/ x @GoogleDeepMind @Microsoft proud father of 16 H100s flirting with LLMs, tensor core maximalist

🧑‍💻PostDoc researcher 🧐Artificial intelligence, deep learning, representation learning, foundation multimodal models, mechanistic interpretability, concept learning 📍Turin, Italy I love plants 🪴 https://riccardorenzulli.github.io

AI Engineer @ Zeta Alpha. Building and Evaluating production-ready RAG pipelines | Interested in IR, agents research, and startup mindset to drive impact

PhD candidate at University of Amsterdam | Physics-Informed Generative Modeling

Assistant professor at the University of Amsterdam. Previously at Microsoft Research, Partnership on AI.

Shaping the future of programming @tessl.io 🚀 | ex-@TwitterCortex @Birdwatch 💙 | PhD in probabilistic machine learning, loyal servant to a cat, collector of random variables, and lover of well-placed puns. https://mgorinova.github.io/

PhD student in Responsible NLP at the University of Edinburgh, curious about interpretability and alignment

PhD student at Northeastern, previously at EpochAI. Doing AI interpretability. diatkinson.github.io

NLP & Interpretability | PhD Student @ University of Trieste & Laboratory of Data Engineering of Area Science Park | Prev MPI-IS

Postdoc at the interpretable deep learning lab at Northeastern University, deep learning, LLMs, mechanistic interpretability

Reverse engineering neural networks at Anthropic. Previously Distill, OpenAI, Google Brain.Personal account.

Interpretable Deep Networks. http://baulab.info/ @davidbau

Enjoy not enjoying ideals | Interpretability of modular convnets applied to 👁️ and 🛰️🐝 | she/her 🦒💕 variint.github.io

PhD Student at Johns Hopkins University. Previously: Allen Institute for AI, Apple, Samaya AI. Research for #NLProc #IR

Postdoc at Swiss Data Science Center, ETH & guest researcher @coastalcph | previous @CUHK Text Mining Group, working on NLP & IR

AMLab, Informatics Institute, University of Amsterdam. ELLIS Scholar. Geometry-Grounded Representation Learning. Equivariant Deep Learning.

Sentence Transformers, SetFit & NLTK maintainer Machine Learning Engineer at 🤗 Hugging Face

PhD researcher (Recommender Systems) @TerrierTeam, University of Glasgow. Ex. Senior Software Engineer @Amazon The opinions are mine.

🧠 neural IR 📋 model evals 🏋️ lifting weights Incredibly optimistic about the future! 𝕏: din0s_ / din0s.me

PhD at UCL

Senior Research Scientist @ Pinecone Previously, Applied Scientist @ Amazon & PhD @ New York University

Assistant Professor in Computer Science at IRLab, the University of Amsterdam. http://aliannejadi.com

PhD student at University of Amsterdam. Working on information retrieval, LLMs and RAG

PhD Student at the ILLC / UvA doing work at the intersection of (mechanistic) interpretability and cognitive science. Current Anthropic Fellow. hannamw.github.io

Information retrieval, recommender systems and generative modelling. PhD Candidate at IRLab Amsterdam, supervised by Maarten de Rijke & Harrie Oosterhuis.

Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/

Research at Google DeepMind. Ex-Physicist. Controllable World Simulators (GNNs, Structured World Models, Neural Assets). TLM Veo Capabilities (Ingredients & more). 📍 San Francisco, CA

Computer scientist #CS & entrepreneur, Information Retrieval #IR and Databases #DB Indie music 🎸 Radboud University, Nijmegen & Spinque, Utrecht NL #nobot 🌉 bridged from ⁂ https://idf.social/@arjen, follow @ap.brid.gy to interact

Here for the IR laughs and the NLP fun

1980 | Professor of Natural Language Processing, @LIACS @UniLeiden | Lives in #Nijmegen | Mother of 2 | 👩🏻‍💻👩🏻‍🏫🤹‍♀️🌱 🎼

Assistant Professor in AI (Information Retrieval and NLP) at ILLC, @uva.nl & ICAI @opengov.nl Lab Manager | PhD from @irlab-amsterdam.bsky.social | Treasurer @setuputrecht.bsky.social | Commissie Persoonsgegevens Amsterdam | @aiog.net | @zwaailicht.nu

Research @ Spotify https://mounia-lalmas.blog/mounia-lalmas/

Math videos

Ph.D. Candidate @ IRLab, UvA | AI Researcher | Information Retrieval | Generative AI | Passionate about responsible AI, multi-modal learning, and tech for real-world impact | Lifelong learner 🌱

Postdoc at the University of Edinburgh | PhD, University of Amsterdam | Former Applied Scientist Intern at Amazon

Senior Staff Research Scientist, Google DeepMind Affiliated Lecturer, University of Cambridge Associate, Clare Hall GDL Scholar, ELLIS @ellis.eu 🇷🇸🇲🇪🇧🇦

Research scientist at FAIR NY ❤️ LLMs + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.

DeepMind Professor of AI @Oxford Scientific Director @Aithyra Chief Scientist @VantAI ML Lead @ProjectCETI geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶

The official account of the Amsterdam Machine Learning Lab (AMLab) at UvA, co-directed by Max Welling and Jan-Willem van de Meent.

official Bluesky account (check username👆) Bugs, feature requests, feedback: support@bsky.app