@sashamtl.bsky.social
Climate & AI Lead @HuggingFace, TED speaker, WiML board member, TIME AI 100 (She/her/Dr/🦋)
@rosanneliu.com
Founder & executive & community builder & organizer & researcher ML Collective (mlcollective.org) Google DeepMind rosanneliu.com
@jeffclune.com
Professor, Computer Science, University of British Columbia. CIFAR AI Chair, Vector Institute. Senior Advisor, DeepMind. ML, AI, deep RL, deep learning, AI-Generating Algorithms (AI-GAs), open-endedness.
@mvdw.bsky.social
Associate Professor in Machine Learning at the University of Oxford. Interested in automatic inductive bias selection using Bayesian tools.
@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
@csprofkgd.bsky.social
#CS Associate Prof York University, #ComputerVision Scientist Samsung #AI, VectorInst Faculty Affiliate, TPAMI AE, ELLIS4Europe Member, #CVPR2025 Publicity Chair on X 📍Toronto 🇨🇦 🔗 csprofkgd.github.io 🗓️ Joined Nov 2024
@pcastr.bsky.social
Señor swesearcher @ Google DeepMind, adjunct prof at Université de Montréal and Mila. Musician. From 🇪🇨 living in 🇨🇦. https://psc-g.github.io/
@iscienceluvr.bsky.social
PhD at 19 | Founder and CEO at @MedARC_AI | Research Director at @StabilityAI | @kaggle Notebooks GM | Biomed. engineer @ 14 | TEDx talk➡https://bit.ly/3tpAuan
@dimitrisp.bsky.social
Researcher @MSFTResearch; Prof @UWMadison (on leave); learning in context; thinking about reasoning; babas of Inez Lily. https://papail.io
@aaronschein.bsky.social
Assistant Professor of Statistics & Data Science at UChicago Topics: data-intensive social science, Bayesian statistics, causal inference, probabilistic ML Proud “golden retriever” 🦮
@cemanil.bsky.social
Research scientist at Anthropic. PhD in machine learning from the University of Toronto and Vector Institute. Prev: NVIDIA, Google
@thegradient.bsky.social
Senior Research Scientist at Google DeepMind. I ∈ Optimization ∩ Machine Learning. Fan of IronMaiden🤘.Here to discuss research 🤓
@jesfrellsen.bsky.social
Associate Professor of Machine Learning and Signal Processing, Technical University of Denmark (DTU) https://frellsen.org
@idanattias.bsky.social
Postdoc researcher at IDEAL Institute in Chicago, hosted by UIC and TTIC. My research interests are in machine learning theory, data-driven sequential decision-making, and theoretical computer science. https://www.idanattias.com/
@aliciacurth.bsky.social
Machine Learner by day, 🦮 Statistician at ❤️ In search of statistical intuition for modern ML & simple explanations for complex things👀 Interested in the mysteries of modern ML, causality & all of stats. Opinions my own. https://aliciacurth.github.io
@flaviucipcigan.bsky.social
Building AIs for scientific discovery at IBM Research & AI Alliance. Discovered antibiotics and materials for carbon capture. Tango dancer. See more at flaviucipcigan.com. Opinions my own.
@petitegeek.bsky.social
Computing Science prof in multimodal embodied AI, emotion, interaction at SFU in Vancouver 🇨🇦🇵🇭 Director of the Rosie Lab www.rosielab.ca Robotics nerd. Previously at SoftBank Robotics 🤖 FR/JP
@gershbrain.bsky.social
Professor, Department of Psychology and Center for Brain Science, Harvard University https://gershmanlab.com/
@chrishwiggins.bsky.social
.edu: associate professor @columbia; .org: cofounder @hackNY; .com: chief data scientist @nytimes; books: http://amzn.to/3J1tFnr
@sueyeonchung.bsky.social
Assistant Professor of Neural Science at NYU & the Flatiron Institute. Computational Neuroscience, Neural Networks, Neural Manifolds, Physics of Learning, & NeuroAI. https://sites.google.com/site/sueyeonchung/
@karlrohe.bsky.social
“Overly optimistic” 🦮 in Statistics. Listening in statistics. Statistics Professor at UW Madison.
@lmiratrix.bsky.social
Associate professor at the Harvard Graduate School of Education. Works on statistical methodology, causal inference, text as data, randomized experiments, and sometimes bad prose and poetry.
@gemoran.bsky.social
Assistant Prof of Statistics at Rutgers Previously: postdoc in the Blei Lab at Columbia. PhD in Statistics from University of Pennsylvania. https://www.gemma-moran.com Aussie 🦘| NYC-based 🗽
@skdeshpande91.bsky.social
Assistant professor in Statistics at UW–Madison. Interested in #Bayesian statistics, sports analytics, causal inference. Also cocktails and Dallas sports. #mffl
@bleilab.bsky.social
Machine learning lab at Columbia University. Probabilistic modeling and approximate inference, embeddings, Bayesian deep learning, and recommendation systems. 🔗 https://www.cs.columbia.edu/~blei/ 🔗 https://github.com/blei-lab
@dianarycai.bsky.social
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science. www.dianacai.com
@cmaddis.bsky.social
Asst. Prof. in Machine Learning at UofT. #LongCOVID patient. https://www.cs.toronto.edu/~cmaddis/
@ml4science.bsky.social
Cluster of Excellence "Machine Learning: New Perspectives for Science" at University of Tübingen, Germany. Blog: https://www.machinelearningforscience.de/
@tdietterich.bsky.social
Safe and robust AI/ML, computational sustainability. Former President AAAI and IMLS. Distinguished Professor Emeritus, Oregon State University. https://web.engr.oregonstate.edu/~tgd/
@mackelab.bsky.social
We build probabilistic #MachineLearning and #AI Tools for scientific discovery, especially in Neuroscience. Probably not posted by @jakhmack.bsky.social. 📍@ml4science.bsky.social, Tübingen, Germany
@mguindani.bsky.social
Statistician. Bayesian. Professor, Department of Biostatistics, University of California, Los Angeles. Views are my own. He/Him.
@mihainica.bsky.social
Mathematician working on probability and ML at U of Guelph in Canada. I also make math videos at https://youtube.com/@MihaiNicaMath
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@djfoster.bsky.social
Principal Researcher in AI/ML/RL Theory @ Microsoft Research NE/NYC. Previously @ MIT, Cornell. http://dylanfoster.net RL Theory Lecture Notes: https://arxiv.org/abs/2312.16730
@shamkakade.bsky.social
Harvard Professor. ML and AI. Co-director of the Kempner Institute. https://shamulent.github.io
@oymak.bsky.social
EECS Prof @UMich, Research on the Foundations of ML+RL+LLM https://sota.engin.umich.edu/
@erdog.bsky.social
Professor at University of Toronto. Research on machine learning, optimization, and statistics.
@yasamanbb.bsky.social
Research Scientist @ Google DeepMind. Physics of learning, ML / AI, condensed matter. Prev Ph.D. Physics @ UC Berkeley.
@mahdisoltan.bsky.social
work on theoretical foundations of AI, MLLM reliability/Eval, optimization, high dimensional probability/statistics, AI for science/healthcare; director of center on AIF4S @USC 🚲🏔️🥾🏊♂️
@profsanjeevarora.bsky.social
Director, Princeton Language and Intelligence. Professor of CS.
@yisongyue.bsky.social
AI professor at Caltech. General Chair ICLR 2025. http://www.yisongyue.com
@jfrankle.com
Chief AI Scientist at Databricks. Founding team at MosaicML. MIT/Princeton alum. Lottery ticket enthusiast. Working on data intelligence.
@suryaganguli.bsky.social
Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics