Unreasonably Upbeat Machine Learners
People in ML who are just too keen but damn they’re nice.
Created by
@roydanroy.bsky.social
@izzycw.bsky.social
PhD Student at UC San Diego | LLM Agents, Reinforcement Learning, Human-AI Collaboration, Multi-Agent Systems
@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
@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.
@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
@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/
@mguindani.bsky.social
Statistician. Bayesian. Professor, Department of Biostatistics, University of California, Los Angeles. Views are my own. He/Him.
@jesfrellsen.bsky.social
Associate Professor of Machine Learning and Signal Processing, Technical University of Denmark (DTU) https://frellsen.org
@thegradient.bsky.social
Senior Research Scientist at Google DeepMind. I ∈ Optimization ∩ Machine Learning. Fan of IronMaiden🤘.Here to discuss research 🤓
@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
@cemanil.bsky.social
Research scientist at Anthropic. PhD in machine learning from the University of Toronto and Vector Institute. Prev: NVIDIA, Google
@quanquangu.bsky.social
Professor @UCLA, Research Scientist @ByteDance | Recent work: SPIN, SPPO, DPLM 1/2, GPM, MARS | Opinions are my own
@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” 🦮
@dimitrisp.bsky.social
Researcher @MSFTResearch; Prof @UWMadison (on leave); learning in context; thinking about reasoning; babas of Inez Lily. https://papail.io
@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
@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
@pcastr.bsky.social
Señor swesearcher @ Google DeepMind, adjunct prof at Université de Montréal and Mila. Musician. From 🇪🇨 living in 🇨🇦. https://psc-g.github.io/
@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
@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.
@jfrankle.com
Chief AI Scientist at Databricks. Founding team at MosaicML. MIT/Princeton alum. Lottery ticket enthusiast. Working on data intelligence.
@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.
@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.
@rosanneliu.com
Founder & executive & community builder & organizer & researcher ML Collective (mlcollective.org) Google DeepMind rosanneliu.com
@sashamtl.bsky.social
Climate & AI Lead @HuggingFace, TED speaker, WiML board member, TIME AI 100 (She/her/Dr/🦋)
@roydanroy.bsky.social
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst. Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.