@michaelhbowling.bsky.social
Professor of Computing Science at the University of Alberta. Interested in AI, reinforcement learning, and games of all sorts.
@akoopa.bsky.social
Eternal learner, incorrigible thinker. Roaming AI researcher, maker, idea generator. Sometimes I even complete things. Eventually. Best known for infectious enthusiasm and irrepressible outbursts. My laughter is with me, not at you. Cis settler ally.
@vzhong.bsky.social
Assistant Prof at University of Waterloo, CIFAR AI Chair at Vector Institute. Formerly UWNLP, Stanford NLP, MSR, FAIR, Google Brain, Salesforce Research via MetaMind #machinelearning, #nlp victorzhong.com
@alanmackworth.bsky.social
Scientist, AI researcher, roboticist, professor emeritus. Coauthor “Artificial Intelligence: Foundations of Computational Agents” http://artint.info 🇨🇦
@yvpant.bsky.social
Assistant Professor, Electrical & Computer Engineering, University of Waterloo | Control, Learning & Logic Group | PhD @ UPenn | Postdoc @ UC Berkeley | Decision-making for autonomous systems | Control Theory | Optimization | Machine Learning.
@ktlr.bsky.social
CS prof at University of Waterloo and Research Scientist at Google DeepMind.
@compthink.bsky.social
Assoc Prof @UWaterloo See you at #neurips24 Research: #ArtificialIntelligence #MachineLearning #ReinforcementLearning #casual-learning, dimensionality reduction, #ethicalAI #aimorality #aialignment Domains: wildfires, driving, medical, video games
@angelinawang.bsky.social
Postdoc at Stanford HAI | ML fairness and algorithmic bias | incoming Asst Prof at Cornell Info Sci and Cornell Tech https://angelina-wang.github.io/
@jandubinski.bsky.social
PhD student in Machine Learning @Warsaw University of Technology and @IDEAS NCBR
@iamjbd.bsky.social
🤗 ML at Hugging Face 🌲 Academic Staff at Stanford University (AIMI Center) 🦴 Radiology AI is my stuff
@jbarbosa.org
Junior PI @ INM (Paris) in computational neuroscience, interested in how computations enabling cognition are distributed across brain areas. Expect neuroscience and ML content. jbarbosa.org
@lizziegibney.bsky.social
Senior reporter at Nature, views my own. Journalist covering physics, AI, policy. Attempting to stop lurking and start posting.
@danilobzdok.bsky.social
Research director | @McGillU @Mila_Quebec @IVADO_Qc | My team designs machine learning frameworks to understand human-defining brain circuits
@dotadotadota.bsky.social
Phd student at @MPI_NL@Donders, working on multimodal semantic representations in 🖥️ and 👶🧠 https://tianaidong.github.io/
@lukasmut.bsky.social
Senior RS in AI for Biotech | Prev. SR and Research Intern at Google DeepMind | PhD in ML and NeuroAI from @tuberlin.bsky.social @bifold.berlin @mpicbs.bsky.social | Representations in 🧠 and 🤖 | #FirstGen 🌈 🌍: https://lukasmut.github.io/
@ristouuk.bsky.social
Head of EU Policy and Research at the Future of Life Institute | PhD Researcher at KU Leuven | Systemic risks from general-purpose AI
@jimmykromann.bsky.social
Data Scientist in Pharma. I want to read and post about Cheminformatics, Quantum Chemistry, and Machine Learning. https://github.com/charnley
@thematterlab.bsky.social
The materials for tomorrow, today. We are the Matter Lab at the University of Toronto, led by Professor Alán Aspuru-Guzik. Our group works at the interface of theoretical chemistry with physics, computer science, and applied mathematics.
@drlaschowski.bsky.social
Computational Neuroscientist. Studying the brain and building artificial intelligence #CompNeuro #NeuroAI Assistant Professor @UofT Research Scientist @TorontoRehab
@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 👶
@charlieangus104.bsky.social
Politics, author of Dangerous Memory: Coming of Age in the Decade of Greed / Cobalt:Cradle of the Demon Metals Lead singer with Grievous Angels. Just a boy from Cobalt. Not a space for the cynical and snide.
@cameron.pfiffer.org
AI systems, financial economics PhD, ATProto fan, man with tattooed legs Signal: https://signal.me/#eu/AQ1ajwHwgg0rabcRsdtkm9UYpdg52axiruSTFMmrFy0LR4Ds8pdH25jzjoTc2bGu
@dziadzio.bsky.social
ELLIS PhD student in machine learning at IMPRS-IS. Continual learning at scale. sebastiandziadzio.com
@confusezius.bsky.social
Large Models, Multimodality, Continual Learning | ELLIS ML PhD with Oriol Vinyals & Zeynep Akata | Previously Google DeepMind, Meta AI, AWS, Vector, MILA 🔗 karroth.com
@vishaalurao.bsky.social
@ELLISforEurope PhD Student @bethgelab @caml_lab @Cambridge_Uni @uni_tue; Currently SR @GoogleAI; Previously MPhil @Cambridge_Uni, RA @RutgersU, UG @iiitdelhi vishaal27.github.io
@fededagos.bsky.social
PhD student @ Uni Tübingen | @bethgelab.bsky.social | Computational Neuroscience & ML
@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
@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
@elifakata.bsky.social
PhD student in machine learning & cognitive science in Munich & Tübingen
@coallaoh.bsky.social
Professor in Scalable Trustworthy AI @ University of Tübingen | Advisor at Parameter Lab & ResearchTrend.AI https://seongjoonoh.com | https://scalabletrustworthyai.github.io/ | https://researchtrend.ai/
@auschulz.bsky.social
PhD student @mackelab.bsky.social - machine learning in (neuro)science. Co-CEO of KI macht Schule gGmbH
@bayesiankitten.bsky.social
Postdoctoral Researcher @ Bethgelab, University of Tübingen Benchmarking | LLM Agents | Data-Centric ML | Continual Learning | Unlearning drimpossible.github.io
@philipphennig.bsky.social
Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
@elinguyen.bsky.social
PhD Student in the STAI group at the University of Tübingen and IMPRS-IS | Volunteering at KI macht Schule and Viva con Agua | Currrently visiting Vector Institute elisanguyen.github.io
@askoepke.bsky.social
Junior research group leader at TUM | University of Tübingen. Previously at VGG (Oxford), BAIR (Berkeley). Interested in multi-modal learning. 🔗 https://akoepke.github.io/
@bethgelab.bsky.social
Machine Learning and Neuroscience Lab @ Uni Tuebingen, PI: Matthias Bethge, bethgelab.org
@danielged.bsky.social
PostDoc Tübingen @mackelab.bsky.social 🇩🇪 PhD Uppsala 🇸🇪 MSc Delft 🇳🇱 Machine learning for science dgedon.github.io
@philipp.hertie.ai
Professor of Data Science @ University of Tübingen, Director of Hertie AI (www.hertie.ai) and Speaker of ML4Science (www.machinelearningforscience.org)