Alec McClean
Postdoc @ NYU Grossman; stats / ML + causal inference
https://alecmcclean.github.io/
@nickwillyamz.bsky.social
Senior Data Analyst at Columbia University Epidemiology // Incoming Biostatistics PhD student at UC Berkeley
@cassidylaidlaw.bsky.social
PhD student at UC Berkeley studying RL and AI safety. https://cassidylaidlaw.com
@kararudolph.bsky.social
Associate professor at Columbia University Epidemiology, causal inference, addiction medicine https://kararudolph.github.io/
@paper-feed.bsky.social
Building personalized Bluesky feeds for academics! Pin Paper Skygest, which serves posts about papers from accounts you're following: https://bsky.app/profile/paper-feed.bsky.social/feed/preprintdigest. By @sjgreenwood.bsky.social and @nkgarg.bsky.social
@lestermackey.bsky.social
Machine learning researcher at Microsoft Research. Adjunct professor at Stanford.
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@harshitsikchi.bsky.social
(On job market) I study Reinforcement Learning. PhD at UT Austin. Previously FAIR Paris, Meta US, NVIDIA, CMU, and IIT Kharagpur. Website: https://hari-sikchi.github.io/
@stonet2000.bsky.social
PhDing @UCSanDiego @HaoSuLabUCSD @hillbot_ai on scalable robot learning, reinforcement learning, and embodied AI. Co-founded @LuxAIChallenge to build AI competitions. @NSF GRFP fellow http://stoneztao.com
@stephmilani.bsky.social
PhD Student in Machine Learning at CMU. On the academic job market! 🐦 twitter.com/steph_milani 🌐 stephmilani.github.io
@yus167.bsky.social
PhD at Machine Learning Department, Carnegie Mellon University | Interactive Decision Making | https://yudasong.github.io
@willemropke.bsky.social
PhD student | Interested in all things decision-making and learning
@upiter.bsky.social
PhD at NYU studying reasoning, decision-making, and open-endedness alum of MIT | prev: Google, MSR, MIT CoCoSci https://upiterbarg.github.io/
@ahana.bsky.social
Reinforcement Learning PhD student, UPF Barcelona. Uncertain in the face of optimism. ahanadeb.github.io
@orrkrup.bsky.social
Robot Learning Research | Prev: PhD @Technion More data isn't all we need 🔭🦾 🌍
@amsks96.bsky.social
PhD Student working on Generlization and State abstractions in #RL, #MetaLearning, and #AutoRL amsks.github.io
@theeimer.bsky.social
RL researcher looking for DACs // What is this AutoRL anyway? she/her Currently: Leibniz Uni Hannover Previously: Uni Freiburg (Master's) | Meta AI London (Intern) Always & Forever: AutoRL.org
@allenanie.bsky.social
Stanford CS PhD working on RL and LLMs with Emma Brunskill and Chris Piech. Co-creator of Trace. Prev @GoogleDeepMind @MicrosoftResearch Specifically - Offline RL - In-context RL - Causality https://anie.me/about Unverified hot takes go to this account
@cvoelcker.bsky.social
Reinforcement Learning @ UofT/Vector Institute, political agitation @ Queer in AI If I seem very angry, check if I have been watered in the last 24 hours. For professional, see https://cvoelcker.de
@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.
@artemzholus.bsky.social
Visiting Researcher at Meta; PhD student @mila.quebec. Ex: Intern @GoogleDeepMind, Intern @ EPFL, MSc@MIPT; artemzholus.github.io
@onnoeberhard.com
PhD Student in Tübingen (MPI-IS & Uni Tü), interested in reinforcement learning. Ex research intern at Google Research. https://onnoeberhard.com/
@yihe-deng.bsky.social
CS PhD candidate @UCLA | Prev. Research Intern @MSFTResearch, Applied Scientist Intern @AWS | LLM post-training, multi-modal learning https://yihedeng9.github.io
@hyperpotatoneo.bsky.social
PhD student at Mila | Diffusion models and reinforcement learning 🧐 | hyperpotatoneo.github.io
@brosa.ca
Ph.D. Student studying AI & decision making at Mila / McGill University. Currently at FAIR @ Meta. Previously Google DeepMind & Google Brain. https://brosa.ca
@yutaizh.bsky.social
CS PhD student at @uscviterbi.bsky.social. Interested in (inverse) RL, imitation learning, jax, and bayesian methods.
@alizeepace.bsky.social
Gemini Post-Training @ Google DeepMind Previously: ETH Zurich, Cambridge, CERN alizeepace.com
@karimabdel.bsky.social
Intern at CHAI, UC Berkeley | Ex-Research intern at the Krueger AI Safety Lab, University of Cambridge Interested in RL, AI Safety, Cooperative AI, TCS https://karim-abdel.github.io
@notmahi.bsky.social
Building generally intelligent robots that *just work* everywhere, out of the box, at NYU CILVR. Previously at MIT and visiting researcher at Meta AI. https://mahis.life/
@rushivarora.bsky.social
ML Research Scientist at Dell AI by day, RL Researcher at night https://rushivarora.github.io
@yangivyxq.bsky.social
Incoming Assist. Prof of Economics&Finance at SIUE. Macro-finance, causal AI (reinforcement learning). Topics in wealth inequality and entrepreneurship. https://xueqingyang.com
@jramirezruiz.bsky.social
Papá, postdoc in the Ebitz lab in Montreal | comp cog neuro & RL | intrinsically motivated about behavior, coffee, ecologies and agency 🇲🇽🇪🇸🇨🇦 UNAM, UdeS, UPF. How come life? jorgeerrz.github.io
@alexandrelarouche.bsky.social
Ph.D. candidate, Generative Flow Networks / Gaining insights in Deep Leaning
@crji.bsky.social
📚 princeton physics phd 🎓 mit '23 physics + math ✨ RL, interpretable AI4Science, stat phys
@daphne-cornelisse.bsky.social
PhD student at NYU | Building human-like agents | https://www.daphne-cornelisse.com/
@ncklashansen.bsky.social
PhD student at UCSD. NVIDIA fellow. Prev: Meta AI, UC Berkeley, DTU. Interested in reinforcement learning and robots. 🏳️🌈 they/he https://www.nicklashansen.com
@eugenevinitsky.bsky.social
Anti-cynic. Towards a weirder future. Reinforcement Learning, Autonomous Vehicles, transportation systems, the works. Asst. Prof at NYU https://emerge-lab.github.io https://www.admonymous.co/eugenevinitsky
@stat-ron.bsky.social
Assistant Teaching Professor, Department of Statistics & Data Science, Carnegie Mellon University, Director of Carnegie Mellon #SportsAnalytics Center (CMSAC) https://stat.cmu.edu/cmsac
@pausalz.bsky.social
Paul Zivich, Assistant (to the Regional) Professor Computational epidemiologist, causal inference researcher, amateur mycologist, and open-source enthusiast. https://github.com/pzivich #epidemiology #statistics #python #episky #causalsky
@stein.ke
Computer science, math, machine learning, (differential) privacy Researcher at Google DeepMind Kiwi🇳🇿 in California🇺🇸 http://stein.ke/
@ritwiks.bsky.social
Statistician, Data scientist and Researcher. I enjoy working with data. Husband, father to two kids and one dog. I work for Adobe Research. Interested in History and Languages.
@calebhmiles.bsky.social
Assistant professor of biostatistics at Columbia University Casual inference, statistics, etc Pauca sed Matura
@rl-theory.bsky.social
Virtual seminar series featuring the latest advances in theoretical reinforcement learning. Seminars (approximately) every Tuesday at 6pm UTC. > https://sites.google.com/corp/view/rltheoryseminars