Alex Dimakis
UC Berkeley Professor working on AI. Co-Director: National AI Institute on the Foundations of Machine Learning (IFML). http://BespokeLabs.ai cofounder
@colmweb.org
The 2025 Conference on Language Modeling will take place at the Palais des Congrès in Montreal, Canada from October 7-10, 2025
@yoavartzi.com
LM/NLP/ML researcher ¯\_(ツ)_/¯ yoavartzi.com / associate professor @ Cornell CS + Cornell Tech campus @ NYC / nlp.cornell.edu / associate faculty director @ arXiv.org / researcher @ ASAPP / starting @colmweb.org / building RecNet.io
@schasins.bsky.social
Assistant Professor at UC Berkeley EECS. PL+HCI. Into making programming easier for social scientists and domain experts.
@simonsinstitute.bsky.social
The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
@jeremybernste.in
🧪 pulp deep learning theory @ mit ✍️ anon feedback: http://admonymous.co/jxbz
@praveshkkothari.bsky.social
Assistant Professor @PrincetonCS Research: Theoretical Computer Science, Optimization, Algorithmic Statistics.
@cmcaram.bsky.social
Professor at UT Austin. Research in ML & Optimization. Always rethinking how I teach. Amateur accordion player. Committed bike commuter. Online classes in English & Greek. https://caramanis.github.io/
@hardmaru.bsky.social
I work at Sakana AI 🐟🐠🐡 → @sakanaai.bsky.social https://sakana.ai/careers
@lakshyaaagrawal.bsky.social
PhD @ucberkeleyofficial.bsky.social | Past: AI4Code Research Fellow @msftresearch.bsky.social | Summer @EPFL Scholar, CS and Applied Maths @IIITDelhi | Hobbyist Saxophonist https://lakshyaaagrawal.github.io Maintainer of https://aka.ms/multilspy
@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
@jfrankle.com
Chief AI Scientist at Databricks. Founding team at MosaicML. MIT/Princeton alum. Lottery ticket enthusiast. Working on data intelligence.
@deepakmalhotra.bsky.social
- Prof at Harvard Business School - Advisor, Teacher, Author, Sensei, Founder - 2020 MBA Prof of the Year - Books: Negotiation Genius | Negotiating the Impossible | The Peacemaker’s Code
@quanquangu.bsky.social
Professor @UCLA, Research Scientist @ByteDance | Recent work: SPIN, SPPO, DPLM 1/2, GPM, MARS | Opinions are my own
@sbubeck.bsky.social
I work on AI at OpenAI. Former VP AI and Distinguished Scientist at Microsoft.
@richtarik.bsky.social
Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes 🏓🏋️♂️🎾🏐⛷️⛸️🧘♂️🤿🎹🎸✈️🏔️📷☀️🐈🍅🥚☕️
@shamkakade.bsky.social
Harvard Professor. ML and AI. Co-director of the Kempner Institute. https://shamulent.github.io
@angelahzyuan.bsky.social
Research Scientist at ByteDance. Ex @UCLA, @PKU AI4Science, Diffusion Models, Optimizers, RL, LLM
@erdog.bsky.social
Professor at University of Toronto. Research on machine learning, optimization, and statistics.
@konstmish.bsky.social
Research Scientist at Meta Paris Code generation, math, optimization
@alucchi.bsky.social
Researcher in optimization and theoretical machine learning. Assistant professor at the University of Basel. Past: EPFL, ETH Zurich (Switzerland) 🇨🇭
@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 👶
@rarefin.bsky.social
PhD Candidate Mila/University of Montreal | Intern at Amazon | Ex. ServiceNow, Recursion, UpStride | Researching to understand how Deep Learning works https://rarefin.github.io
@nparikh.org
Teaching AI policy at Columbia (https://nparikh.org/sipa6545). Previously Director of AI for NYC. https://nparikh.org
@fschaipp.bsky.social
Researcher in Optimization for ML at Inria Paris. Previously at TU Munich. sbatch and apero. https://fabian-sp.github.io/
@matdag.bsky.social
Postdoc at Inria working on optimization and machine learning. Website: https://matdag.github.io/
@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
@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
@lauraruis.bsky.social
PhD supervised by Tim Rocktäschel and Ed Grefenstette, part time at Cohere. Language and LLMs. Spent time at FAIR, Google, and NYU (with Brenden Lake). She/her.
@rasmuspagh.net
Professor of computer science at University of Copenhagen. Interested in random things & their application (especially to algorithms and privacy). rasmuspagh.net
@jelaninelson.bsky.social
Professor and Chair of Computer Science Division, UC Berkeley EECS. Research Scientist (part-time) at Google. Founder, AddisCoder. 🇻🇮🇺🇸🇪🇹
@greekanalyst.bsky.social
Updates and commentary on startups, economics, geopolitics, political risk, global markets and tech. Focus on Greece & Europe. https://greekanalyst.substack.com/
@utexasece.bsky.social
The Chandra Family Department of Electrical and Computer Engineering at The University of Texas at Austin's Cockrell School of Engineering ranks among the top ten programs of its kind in the nation.
@russpoldrack.org
Professor at Stanford. Psychology/Neuroscience/Data Science. Books include: The New Mind Readers, Handbook of fMRI Data Analysis, Hard to Break, and Statistical Thinking. https://poldrack.github.io/
@ccanonne.bsky.social
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
@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.
@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)
@chanpyb.bsky.social
PhD student at University of Alberta. Interested in reinforcement learning, imitation learning, machine learning theory, and robotics https://chanb.github.io/
@ncollina.bsky.social
Penn CS PhD student and IBM PhD Fellow studying strategic algorithmic interaction. Calibration, commitment, collusion, collaboration. She/her. Nataliecollina.com
@ftudisco.bsky.social
Machine Learning @ University of Edinburgh | AI4Science | optimization | numerics | networks | co-founder @ MiniML.ai | ftudisco.gitlab.io
@kfountou.bsky.social
Associate Professor at CS UWaterloo Machine Learning Lab: opallab.ca