Samet Oymak
EECS Prof @UMich, Research on the Foundations of ML+RL+LLM
https://sota.engin.umich.edu/
@nmboffi.bsky.social
Building generative models for high-dimensional science and engineering. Assistant prof. @CarnegieMellon & affiliated faculty @mldcmu, previously instructor @NYU_Courant, PhD jointly @Harvard and @MIT https://nmboffi.github.io
@baharanm.bsky.social
Assistant Professor of CS at UCLA Machine learning, Optimization, Data-efficient learning
@mmondelli.bsky.social
Professor at IST Austria | Machine learning, information theory | Prev: Stanford, EPFL | opinions my own
@yinglunzhu.bsky.social
Assistant Prof @ UC Riverside. Research on Efficient ML, RL, and LLMs. CS PhD @ UW Madison. yinglunz.com
@beccawillett.bsky.social
https://willett.psd.uchicago.edu/ Worah Family Professor, University of Chicago National Institute for Theory and Mathematics in Biology (https://www.nitmb.org/) Institute for AI in the Sky (SkAI, https://skai-institute.org/)
@keremcamsari.bsky.social
Assoc. Prof. ECE @UCSBEngineering | building p-bits for probabilistic computing | e^2-hardware for AI | chess fan, ~2300 Bullet @LiChess 😎 | opinions my own
@ernestryu.bsky.social
Professor of Applied Mathematics at UCLA. Interested in deep learning and optimization.
@yanivromano.bsky.social
asst. professor @ Technion. former postdoc @ Stanford. machine learning. statistics. https://sites.google.com/view/yaniv-romano/
@yasamanbb.bsky.social
Research Scientist @ Google DeepMind. Physics of learning, ML / AI, condensed matter. Prev Ph.D. Physics @ UC Berkeley.
@krzakalaf.bsky.social
Love Physics, Maths, Machine learning, Computer Science but above all playing 🎸🎵 Happy dad 👧 👧. Also professor @ EPFL. Views are my own.
@gkdziugaite.bsky.social
Sr Research Scientist at Google DeepMind, Toronto. Member, Mila. Adjunct, McGill CS. PhD Machine Learning & MASt Applied Math (Cambridge), BSc Math (Warwick). gkdz.org
@kasperglarsen.bsky.social
Professor and Head of Algorithms, Data Structures and Foundations of Machine Learning at Computer Science, Aarhus University
@berktinaz.bsky.social
PhD student at USC | prev. intern at Amazon AI for science, ML theory
@adamian.bsky.social
@cpehlevan.bsky.social
theory of neural networks for natural and artificial intelligence https://pehlevan.seas.harvard.edu/
@preetumnakkiran.bsky.social
ML Research @ Apple. Understanding deep learning (generalization, calibration, diffusion, etc). preetum.nakkiran.org
@lateinteraction.bsky.social
Incoming asst professor at MIT EECS, Fall 2025. Research scientist at Databricks. CS PhD @StanfordNLP.bsky.social. Author of ColBERT.ai & DSPy.ai.
@aryanmokhtari.bsky.social
Researcher in Optimization and Machine Learning. #FlyEaglesFly
@zdeborova.bsky.social
Professor at EPFL. Une mathémaphysinformaticienne. Passionate mushroom hunter. Tamer of two little dragons.
@jelaninelson.bsky.social
Professor and Chair of Computer Science Division, UC Berkeley EECS. Research Scientist (part-time) at Google. Founder, AddisCoder. 🇻🇮🇺🇸🇪🇹
@suryaganguli.bsky.social
Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
@berivanisik.bsky.social
Research scientist at Google. PhD from Stanford. Efficient and trustworthy AI, LLMs, and Gemini data & evaluation. https://sites.google.com/view/berivanisik
@necozay.bsky.social
Professor of EECS and Robotics at University of Michigan. Control theory, hybrid & cyber-physical systems, sys id, algorithms, safe autonomy. More info @ http://web.eecs.umich.edu/~necmiye/
@patrickshafto.bsky.social
Prof: Rutgers; Program Manager: DARPA; Scientist-at-Large: Redpoll. Math! Machine learning! Cognitive Science!
@lenaicchizat.bsky.social
Researcher in computational mathematics Theory of deep learning, optimal transport, optimization EPFL
@richtarik.bsky.social
Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes 🏓🏋️♂️🎾🏐⛷️⛸️🧘♂️🤿🎹🎸✈️🏔️📷☀️🐈🍅🥚☕️
@xy-han.bsky.social
Assistant Professor @ChicagoBooth | Papers: “Neural Collapse in Deep Nets” & “Survey Descent: Nonsmooth GD” | BSE @Princeton, MS @Stanford, PhD @Cornell | xyhan.me
@atlaswang.bsky.social
https://vita-group.github.io/ 👨🏫 UT Austin ML Professor (on leave) https://www.xtxmarkets.com/ 🏦 XTX Markets Research Director (NYC AI Lab) Superpower is trying everything 🪅 Newest focus: training next-generation super intelligence - Preview above 👶
@spmontecarlo.bsky.social
Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him). Homepage: https://sites.google.com/view/sp-monte-carlo Seminar: https://sites.google.com/view/monte-carlo-semina
@jonlorraine.bsky.social
Research scientist @NVIDIA | PhD in machine learning @UofT. Previously @Google / @MetaAI. Opinions are my own. 🤖 💻 ☕️
@profsanjeevarora.bsky.social
Director, Princeton Language and Intelligence. Professor of CS.
@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
@erdog.bsky.social
Professor at University of Toronto. Research on machine learning, optimization, and statistics.
@krizna.bsky.social
https://sites.google.com/view/kriznakumar/ Associate professor at @ucdavis #machinelearning #deeplearning #probability #statistics #optimization #sampling
@andrea-montanari.bsky.social
Professor, Stanford University, Statistics and Mathematics. Opinions are my own.
@andrejristeski.bsky.social
Machine learning researcher. Professor in ML department at CMU.
@abeirami.bsky.social
GenAI post-training at Google DeepMind / Google Research | ex-{Meta, EA, MIT, Harvard, Duke} | Georgia Tech PhD | زن زندگی آزادی | opinions my own 📍{NYC, YYZ} 🔗 https://www.mit.edu/~beirami/