Jorge Hernandez 🇺🇦 🏳️‍🌈

@laurenfklein.bsky.social

Digital humanities, data science, AI, eating, professor of Quantitative Theory & Methods and English at Emory. Coauthor #DataFeminism w/ @kanarinka, PI #AIAInetwork.

@meganakpeters.bsky.social

assoc prof, uc irvine cogsci & LPS: perception+metacognition+phenomenology, fMRI+models+ML+AI meta-science, global education, phil sci prez+co-founder, neuromatch.io fellow, CIFAR brain mind & consciousness meganakpeters.org she/her 💖💜💙 views mine

@vickiboykis.com

ML Engineering. LLMs 😬. Information retrieval. Infra. Systems. Normcore code. Nutella. Vectors. Words. Vibes. Bad puns (soon). https://vickiboykis.com/what_are_embeddings/

@hannes-stark.bsky.social

MIT PhD Student - ML for biomolecules - https://hannes-stark.com/

@sscardapane.bsky.social

I fall in love with a new #machinelearning topic every month 🙄 Ass. Prof. Sapienza (Rome) | Author: Alice in a differentiable wonderland (https://www.sscardapane.it/alice-book/)

@phillipisola.bsky.social

Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI. https://web.mit.edu/phillipi/

@natanielruiz.bsky.social

senior research scientist at Google | author of DreamBooth https://natanielruiz.github.io/

@wattenberg.bsky.social

Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.

@makagan.bsky.social

Physics + Machine Learning Scientist at SLAC National Laboratory at Stanford

@milescranmer.bsky.social

AI + Astro/Physics. Assistant Prof at Cambridge. astroautomata.com/

@michalyoudoing.bsky.social

History of Science, Astronomy, Cartography, Transport, Software, AI Translating 17th century Astronomy texts Author: -The Perfect Transport: and the science of why you can't have it -Almagestum Novum: History of Astronomy

@guillemsimeon.bsky.social

(He/him) Physicist. Machine learning and atoms @ Microsoft Quantum. 🏳️‍🌈

@markburgessosl.bsky.social

Em. Prof. Computing Systems, Information physics, Quantum Field Theory, Promise Theory, Cognitive Agents, Semantic Spacetime, CFEngine, author, hobby composer of eclectic musical styles...film music fan. Emotional support animal. Stuff at markburgess.org

@avt.im

Decision-making under uncertainty, machine learning theory, artificial intelligence · anti-ideological · Assistant Research Professor, Cornell https://avt.im/ · https://scholar.google.com/citations?user=6Qa-wXMAAAAJ&sortby=pubdate

@michaelhoffman.bsky.social

Chair, Computational BIology and Medicine Program, Princess Margaret Cancer Centre, University Health Network. Associate Professor, Medical Biophysics, University of Toronto. Disclosures: https://github.com/michaelmhoffman/disclosure/

@mschrimpf.bsky.social

NeuroAI Prof @EPFL 🇨🇭. ML + Neuro 🤖🧠. Brain-Score, CORnet, Vision, Language. Previously: PhD @MIT, ML @Salesforce, Neuro @HarvardMed, & co-founder @Integreat. go.epfl.ch/NeuroAI

@acarroll.bsky.social

Product lead Genomics Google Research

@smyth7.bsky.social

Director of AI/ML Engineering at GSK.ai. Ex-physicist. Mostly interested in deep learning for biological sequences. All opinions my own.

@patrickomid.bsky.social

ML research at the National Renewable Energy Lab. Currently thinking about multimodal language models for the sciences, AI4Science & Engineering, open-ended learning, and planning & reasoning. #PDX #DTWD

@lindorfflarsen.bsky.social

Protein and coffee lover, father of two, professor of biophysics and sudo scientist at the Linderstrøm-Lang Centre for Protein Science, University of Copenhagen 🇩🇰

@olexandr.bsky.social

Chemistry professor at CMU. Connecting chemical sciences with AI #MachineLearning and automated experimentation. #tarheels fan. Care: #design, #photography #Ukraine #cats🐈 Rants are mine

@shahabbakht.bsky.social

|| assistant prof at University of Montreal || leading the systems neuroscience and AI lab (SNAIL: https://www.snailab.ca/) 🐌 || associate academic member of Mila (Quebec AI Institute) || #NeuroAI || vision and learning in brains and machines

@willieneis.bsky.social

Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs. https://willieneis.github.io

@mollyjongfast.bsky.social

Special correspondent at Vanity Fair and host of the Fast politics podcast and MSNBC

@lowd.bsky.social

CS Prof at the University of Oregon, studying adversarial machine learning, data poisoning, interpretable AI, probabilistic and relational models, and more. Avid unicyclist and occasional singer-songwriter. He/him

@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

@neuroai.bsky.social

Principal Researcher @ Microsoft Research. Cognitive computational neuroscience & AI. Writer. Nature wanderer. www.momen-nejad.org

@kenwhite.bsky.social

Ken White, criminal defense attorney and First Amendment litigator. Co-host of Serious Trouble podcast and writer at The Popehat Report. Signal: KenWhite.1969

@tedunderwood.me

Uses machine learning to study literary imagination, and vice-versa. Likely to share news about AI & computational social science / Sozialwissenschaft / 社会科学 Information Sciences and English, UIUC. Author of Distant Horizons (Chicago, 2019). Pluviophile.

@xkcd.com

@samuelvaiter.com

CNRS Researcher in maths & computer science. My (current) focus is machine learning and optimization. I live & work in Nice 🇫🇷 website: https://samuelvaiter.com

@cottascience.bsky.social

Postdoc fellow at Vector Institute; Machine Learning & Causal Inference; From BH🔺🇧🇷 in TO 🇨🇦 http://cottascience.github.io

@maxthiessen.bsky.social

PhD student in machine learning at TU Wien. Graphs | active learning | learning theory https://maxthiessen.github.io

@andrea-montanari.bsky.social

Professor, Stanford University, Statistics and Mathematics. Opinions are my own.

@jugander.bsky.social

Associate Professor, Stanford MS&E. Visiting Yale FDS '24-'25. Social networks, social and behavioral data, causal inference, mountains. www.stanford.edu/~jugander/

@idris1.bsky.social

Johns Hopkins CS PhD student. #MedicalRobotics #ComputerVision #DeepLearning #Guitar

@omrisuissa.com

Postdoc @ Brown DSI VP R&D @ ClearMash 🔬 Passionate about high-fidelity numerical representations of reality, aligned with human perception. https://omri.alphaxiv.io/ #nlp #multimodality #retrieval #hci #multi-agent

@prashantgarg.bsky.social

Econ PhD @imperial. Visiting researcher at IFC and Cambridge. AI and networks in economics. www.prashantgarg.org

@hamedshirzad.bsky.social

PhD student in Computer Science at UBC | Exploring Machine Learning on Graphs https://www.hamedshirzad.com/

@rachel-law.bsky.social

Organic machine turning tea into theorems ☕️ AI @ Microsoft Research ➡️ Goal: Teach models (and humans) to reason better Let’s connect re: AI for social good, graphs & network dynamics, discrete math, logic 🧩, 🥾,🎨 Organizing for democracy.🗽 www.rlaw.me

@kfountou.bsky.social

Associate Professor at CS UWaterloo Machine Learning Lab: opallab.ca

@ftudisco.bsky.social

Machine Learning @ University of Edinburgh | AI4Science | optimization | numerics | networks | co-founder @ MiniML.ai | ftudisco.gitlab.io

@jrudoler.bsky.social

wharton stats phd — ml theory, ml for science prev: comp neuro, data, physics working with Edgar Dobriban and Konrad Körding also some sports (esp. philly! go birds)

@gautamkamath.com

Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2025. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning. http://www.gautamkamath.com

@marcelhussing.bsky.social

PhD student at the University of Pennsylvania. Currently, intern at MSR. Interested in reliable and replicable reinforcement learning and using it for knowledge discovery: https://marcelhussing.github.io/ All posts are my own.

@sikatasengupta.bsky.social

cs phd @upenn advised by Michael Kearns, Aaron Roth, and Duncan Watts| previously @stanford | she/her https://psamathe50.github.io/sikatasengupta/

@thesasho.bsky.social

Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.

@aaroth.bsky.social

Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein

@haoyin.bsky.social

Twitter/X @haoyin20 Vascular biologist

@eleurent.bsky.social

Research scientist at Google Deepmind generative modeling, rl, birds, poetry, games, robots 📍London 🔗 edouardleurent.com