Manuel Gomez Rodriguez
Human-Centric Machine Learning at the Max Planck Institute for Software Systems
@mtoneva.bsky.social
Faculty at the Max Planck Institute for Software Systems, working at the intersection of ML, language models, and cognitive neuroscience. Yogurt snob. https://mtoneva.com/
@ivichatzi.bsky.social
PhD Student at the Max Planck Institute for Software Systems (MPI-SWS)
@skiandsolve.bsky.social
⛷️ ML Theorist carving equations and mountain trails | 🚴♂️ Biker, Climber, Adventurer | 🧠 Reinforcement Learning: Always seeking higher peaks, steeper walls and better policies. https://ualberta.ca/~szepesva
@adri-arnaiz.bsky.social
🎓 PhD Student at @ellis.eu Alicante ⚖️ Algorithmic Fairness and Trustworthy AI 🕸️ Graph Neural Networks 🌐 https://adrian-arnaiz.netlify.app/
@stratiss.bsky.social
🚨On the academic job market🚨 PhD student @ Max Planck Institute for Software Systems. Interested in machine learning, game theory and causality. Previously at Meta, Stanford, NTUA. 💻 https://stsirtsis.github.io/
@lawrennd.bsky.social
Professor of Machine Learning, University of Cambridge, academic lead of ai@cam, Accelerate Science, author of The Atomic Human, proceedings editor for PMLR.
@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/
@wondermixtape.bsky.social
Focused on solving research bottlenecks and transparent and fair AI | Chief Data Officer at OHSU Knight Cancer Institute | Professor, OHSU | MPI AI-READI, BRIDGE2AI | les opinions exprimées sont les miennes | She/her
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@stephmilani.bsky.social
PhD Student in Machine Learning at CMU. On the academic job market! 🐦 twitter.com/steph_milani 🌐 stephmilani.github.io
@viegas.bsky.social
Human/AI Interaction and data visualization. Professor at Harvard. Co-founder of Google's People+AI Research initiative (PAIR)
@tkipf.bsky.social
Research at Google DeepMind. Ex-Physicist. Controllable World Simulators (GNNs, Structured World Models, Neural Assets). 📍 San Francisco, CA
@claireve.bsky.social
Group Leader in Tübingen, Germany I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.
@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
@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
@jan-peters.bsky.social
#RobotLearning Professor (#MachineLearning #Robotics) at @ias-tudarmstadt.bsky.social of @tuda.bsky.social @dfki.bsky.social @hessianai.bsky.social
@zicokolter.bsky.social
Professor and Head of Machine Learning Department at Carnegie Mellon. Board member OpenAI. Chief Technical Advisor Gray Swan AI. Chief Expert Bosch Research.
@shakirm.bsky.social
AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com
@mvdw.bsky.social
Associate Professor in Machine Learning at the University of Oxford. Interested in automatic inductive bias selection using Bayesian tools.
@nolovedeeplearning.bsky.social
human being | assoc prof in #ML #AI #Edinburgh | PI of #APRIL | #reliable #probabilistic #models #tractable #generative #neuro #symbolic | heretical empiricist | he/him 👉 https://april-tools.github.io
@philipphennig.bsky.social
Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
@sethlazar.org
Philosopher working on normative dimensions of computing and sociotechnical AI safety. Lab: https://mintresearch.org Self: https://sethlazar.org Newsletter: https://philosophyofcomputing.substack.com
@randomlywalking.bsky.social
Research Scientist, Google DeepMind / Ex-academic / Deep learning to help people write code / ❤️s:🐱🐶☕️🍕
@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
@yoavgo.bsky.social
@mariaa.bsky.social
Postdoc at the Pioneer Centre for AI in Copenhagen, soon-to-be Assistant Professor of Computer Science at CU Boulder 👩💻 NLP, cultural analytics, online communities, narratives, healthcare 🌐 https://maria-antoniak.github.io
@umangsbhatt.bsky.social
Incoming Assistant Professor @ University of Cambridge. Responsible AI. Human-AI Collaboration. Interactive Evaluation. umangsbhatt.github.io
@msaveski.bsky.social
Assistant Professor @ UW iSchool. Interested in computational social science, social networks & causal inference. http://martinsaveski.com
@brwilder.bsky.social
Assistant Professor at Carnegie Mellon. Machine Learning and social impact. https://bryanwilder.github.io/
@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/
@mstrohm.bsky.social
@davidjurgens.bsky.social
Associate prof at @UMich in SI and CSE working in computational social science and natural language processing. PI of the Blablablab blablablab.si.umich.edu
@randomwalker.bsky.social
Princeton computer science prof. I write about the societal impact of AI, tech ethics, & social media platforms. https://www.cs.princeton.edu/~arvindn/ BOOK: AI Snake Oil. https://www.aisnakeoil.com/
@miguelhernan.org
https://miguelhernan.org/ Using health data to learn what works. Making #causalinference less casual. Director, @causalab.bsky.social Professor, @hsph.harvard.edu Methods Editor, Annals of Internal Medicine @annalsofim.bsky.social
@haldaume3.bsky.social
Human-centered AI #HCAI, NLP & ML. Director TRAILS (Trustworthy AI in Law & Society) and AIM (AI Interdisciplinary Institute at Maryland). Formerly Microsoft Research NYC. Fun: 🧗🧑🍳🧘⛷️🏕️. he/him.
@professorsinan.bsky.social
David Austin Professor, MIT; Director @MIT_IDE; Founder, Manifest Capital & Milemark Capital; Hype Machine Author Digital Insider Pod TED Talk
@5harad.com
Professor of Public Policy at Harvard, co-director of @comppolicylab.bsky.social, applying a computational approach to public policy, including to issues in education, healthcare, and criminal justice. https://5harad.com
@lucy3.bsky.social
UC Berkeley PhD student. #NLProc, computational social science, cultural analytics, AI fairness. she/her. A free range chicken; previously at Ai2, MSR, Stanford. Incoming assistant prof at Wisconsin CS. https://lucy3.github.io
@gligoric.bsky.social
CS @Stanford, Computational Social Science, NLP, AI & Society https://kristinagligoric.com/
@lajello.bsky.social
Computational Social Science researcher interested in Human Coordination and Climate Action. Professor of Data Science at the IT University of Copenhagen. Network Science | NLP | AI agents | Urban Informatics http://www.lajello.com
@emrekiciman.bsky.social
causal ml; ai+society; social media, comp social science. having fun.. my opinions. he/him. http://hci.social/@emrek
@manoelhortaribeiro.bsky.social
Assistant Professor @ Princeton Previously: EPFL 🇨🇭, UFMG 🇧🇷 Interests: Computational Social Science, Platforms, GenAI, Moderation
@ingmarweber.de
Alexander von Humboldt Professor for AI and Chair for Societal Computing at Saarland University. Co-Director at https://i2sc.net.
@przemyslslaw.bsky.social
CS faculty at University College Dublin and the University of Massachusetts Amherst: responsible AI, social media, news media, computational social science, applied NLP, open-world AI RT≠endorsement, RT=interesting read More: https://przemyslslaw.github.io