Jun Yang
Department of Mathematical Sciences, University of Copenhagen https://jun.sites.ku.dk/
@sbubeck.bsky.social
I work on AI at OpenAI. Former VP AI and Distinguished Scientist at Microsoft.
@caltech.edu
The California Institute of Technology aims to expand human knowledge and benefit society through research integrated with education.
@teorth.bsky.social
Mathematician at UCLA. My primary social media account is https://mathstodon.xyz/@tao . I also have a blog at https://terrytao.wordpress.com/ and a home page at https://www.math.ucla.edu/~tao/
@fieldsinstitute.bsky.social
At the Fields Institute, mathematics research, innovation and education flourish. We foster an inclusive, equitable and collaborative culture where everyone can discover mathematics, and where mathematicians can make meaningful contributions to the world.
@dileeplearning.bsky.social
AGI research @DeepMind. Ex cofounder & CTO Vicarious AI (acqd by Alphabet), Cofounder Numenta Triply EE (BTech IIT-Mumbai, MS&PhD Stanford). #AGIComics blog.dileeplearning.com
@dmimno.bsky.social
He teaches information science at Cornell. http://mimno.infosci.cornell.edu
@rodneyabrooks.bsky.social
Primarily Robotics and AI. Distinguishing hype-notism from plausibility one press release at a time. rodneybrooks.com/blog people.csail.mit.edu/brooks
@yoavgo.bsky.social
@vaishnavh.bsky.social
Foundations of AI. I like simple and minimal examples and creative ideas. I also like thinking about the next token 🧮🧸 Google Research | PhD, CMU | https://arxiv.org/abs/2504.15266 | https://arxiv.org/abs/2403.06963 vaishnavh.github.io
@thejonullman.bsky.social
Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.
@deisenroth.bsky.social
Machine learning, environmental modeling, sustainability, robotics Professor @UCL He/him
@andrejristeski.bsky.social
Machine learning researcher. Professor in ML department at CMU.
@inference.vc
Secular Bayesian. Professor of Machine Learning at Cambridge Computer Lab Talent aficionado at http://airetreat.org Alum of Twitter, Magic Pony and Balderton Capital
@malmaud.bsky.social
@jennwv.bsky.social
Sr. Principal Research Manager at Microsoft Research, NYC // Machine Learning, Responsible AI, Transparency, Intelligibility, Human-AI Interaction // WiML Co-founder // Former NeurIPS & current FAccT Program Co-chair // Brooklyn, NY // http://jennwv.com
@rmcelreath.bsky.social
Anthropologist - Bayesian modeling - organic modem converting poetry into code - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
@maosbot.bsky.social
Parent, spouse, Australian, Professor of Machine Learning in Oxford. Bayesian ML, Long Covid, trans rights, photos of dog, AI must be good for humans, https://www.robots.ox.ac.uk/~mosb
@blackhc.bsky.social
My opinions only here. 👨🔬 RS DeepMind Past: 👨🔬 R Midjourney 1y 🧑🎓 DPhil AIMS Uni of Oxford 4.5y 🧙♂️ RE DeepMind 1y 📺 SWE Google 3y 🎓 TUM 👤 @nwspk
@eringrant.bsky.social
Senior Research Fellow @ ucl.ac.uk/gatsby & sainsburywellcome.org {learning, representations, structure} in 🧠💭🤖 my work 🤓: eringrant.github.io not active: sigmoid.social/@eringrant @[email protected], twitter.com/ermgrant @ermgrant
@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=EGKYdiwAAAAJ&sortby=pubdate
@alexlew.bsky.social
Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS
@jwvdm.bsky.social
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
@jakhmack.bsky.social
#AI4Science #CompNeuro #NeuroAI #SBI www.mackelab.org @mackelab.bsky.social · Prof Uni Tuebingen ML4Science BCCN tue.ai · Adjunct MPI IS · Fellow ellis.eu · currently hiring postdocs and PhD students · sometimes goes for a run
@timrudner.bsky.social
Assistant Professor & Faculty Fellow, NYU. AI Fellow, Georgetown University. Probabilistic methods for robust and transparent ML & AI Governance. Prev: Oxford, Yale, UC Berkeley. https://timrudner.com
@alexalemi.bsky.social
Machine Learning Researcher https://alexalemi.com https://blog.alexalemi.com
@trappmartin.bsky.social
ML Researcher @ Aalto University 🇫🇮. Previous: TU Graz 🇦🇹, originally from 🇩🇪. Doing: Reliable ML | uncertainty stuff | Bayesian stats | probabilistic circuits https://trappmartin.github.io/
@sebfar.bsky.social
Senior Research Scientist at Google DeepMind. AGI Alignment researcher. Views my dog's.
@tychovdo.bsky.social
Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
@pamattei.bsky.social
Research scientist, Inria. Statistical machine learning.
@lucamb.bsky.social
Assistant professor in Machine Learning and Theoretical Neuroscience. Generative modeling and memory. Opinionated, often wrong.
@joost.bsky.social
@brunokm.bsky.social
PhD in Deep Learning at Cambridge. Previously Microsoft Research AI resident & researcher at Qualcomm. I want to find the key to generalisation.
@jamesallingham.bsky.social
Research Scientist @GoogleDeepMind | Organiser @DeepIndaba | Machine Learning PhD @CambridgeMLG | 🇿🇦
@jameshensman.bsky.social
Trying to make all the AIs more efficient. Former Gaussian process connoisseur. Researcher at Microsoft Research.
@kstensbo.bsky.social
Postdoc in Bayesian machine learning at the Technical University of Denmark. I used to think a lot about the universe.
@siahkoohi.bsky.social
Assistant Professor, CS at UCF | Uncertainty Quantification https://alisiahkoohi.github.io/
@dan-kowal.bsky.social
Associate Professor of Statistics and Data Science at Cornell University. https://www.danielrkowal.com/
@nicolabranchini.bsky.social
🇮🇹 Stats PhD @ University of Edinburgh 🏴 @ellis.eu PhD - visiting @avehtari.bsky.social 🇫🇮 🤔💭 about uncertainty quantification. Interested in sampling/transport methodologies, applications in climate/science. https://www.branchini.fun/about
@sperez-vieites.bsky.social
Postdoctoral researcher at Aalto University and FCAI, Helsinki 🇫🇮 Previously in Edinburgh, Lille and Madrid. Working on Bayesian inference for state-space models, and Bayesian experimental design. https://sarapv.github.io/
@karen-ullrich.bsky.social
Research scientist at FAIR NY ❤️ Machine Learning + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
@nelsontang.com
Data Scientist (Forecasting) @NVIDIA. Interested in Bayesian stats, causal inference, and decisions. Also dad, OEF vet, and ski/mountain enjoyer. I blog (throw bricks into the wind) @ www.nelsontang.com
@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