Amir Mesbah
Graduate Student - Interested in RL and its mathematics 👾
> https://amirhosein-mesbah.github.io/
@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
@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/
@zstevenwu.bsky.social
Computer science professor at Carnegie Mellon. Researcher in machine learning. Algorithmic foundations of responsible AI (e.g., privacy, uncertainty quantification), interactive learning (e.g., RLHF). https://zstevenwu.com/
@sbubeck.bsky.social
I work on AI at OpenAI. Former VP AI and Distinguished Scientist at Microsoft.
@pitchdropnow.bsky.social
@supermeyn.bsky.social
bsky's suggestion in 2024: Artist, dog lover, avid reader! Geeky side, see here: https://meyn.ece.ufl.edu/ Adore nature in N. Florida, such as the cute bison that serves as my bsky photo I care about human beings, which means I'm a crazy radical!
@yinglunzhu.bsky.social
Assistant Prof @ UC Riverside. Research on Efficient ML, RL, and LLMs. CS PhD @ UW Madison. yinglunz.com
@cevherlions.bsky.social
Associate Professor of Electrical Engineering, EPFL. Amazon Scholar (AGI Foundations). IEEE Fellow. ELLIS Fellow.
@kwangsungjun.bsky.social
kwang-sung jun. assistant professor at the u of arizona. ml, online learning, and bandits! i am a fan of regret minimalism, both in life and research.
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@shamkakade.bsky.social
Harvard Professor. ML and AI. Co-director of the Kempner Institute. https://shamulent.github.io
@adamian.bsky.social
@kallus.bsky.social
🏳️🌈👨👨👧👦 interested in causal inference, experimentation, optimization, RL, statML, econML, fairness Cornell & Netflix www.nathankallus.com
@angelahzyuan.bsky.social
Research Scientist at ByteDance. Ex @UCLA, @PKU AI4Science, Diffusion Models, Optimizers, RL, LLM
@florentdelgrange.bsky.social
postdoc @ ai lab, Vrije Universiteit Brussel working on providing reliable and verifiable ai mechanisms #RL & formal methods delgrange.me
@nnekaokolo4.bsky.social
RL Researcher | Postdoctoral Associate @mitidss Interested in RL theory, stochastic optimisation and online learning. https://muchay.github.io/
@aldopacchiano.bsky.social
AI research at Broad Institute and Boston University. Reinforcement Learning / Bandits / Experiment Design Mexicano 🇲🇽
@ricczamboni.bsky.social
PhD student @polimi | Reinforcement Learning @rl3polimi | I do stuff, I see stuff. Some with purpose, most by chance. https://ricczamboni.github.io
@cassidylaidlaw.bsky.social
PhD student at UC Berkeley studying RL and AI safety. https://cassidylaidlaw.com
@gioramponi.bsky.social
Assistant Professor at UZH, group leader of the ALPILab 🌼 Working on RL, multi-agent, imitation learning, and other sequential decision-making stuff
@animesh-garg.bsky.social
Foundation Models for Generalizable Autonomy. Assistant Professor in AI Robotics, Georgia Tech prev Berkeley, Stanford, Toronto, Nvidia
@sarameghanbeery.bsky.social
Research on AI and biodiversity 🌍 Asst Prof at MIT CSAIL, AI for Conservation slack and CV4Ecology founder #QueerInAI 🏳️🌈
@erdog.bsky.social
Professor at University of Toronto. Research on machine learning, optimization, and statistics.
@harwiltz.bsky.social
PhD student at Mila / McGill. Studying distributional RL for transfer across risk-sensitive utilities, and for long-horizon high-frequency decision-making.
@reggiemclean.bsky.social
PhD Candidate at Toronto Metropolitan University. Reinforcement learning 🍒, machine learning. He/him. reggiemclean.ca
@dabelcs.bsky.social
Researcher @ Google DeepMind and Honorary Fellow @ U of Edinburgh. RL, philosophy, foundations, AI. https://david-abel.github.io
@theo-vincent.bsky.social
PhD student at @dfki | @ias-tudarmstadt.bsky.social, working on RL 🤖 Previously master student at MVA @ENS_ParisSaclay | ENPC 🎓
@masscaccia.bsky.social
Research Scientist at ServiceNow Gradient-descent enthusiast building LLM agents. Formerly Mila, Deepmind, Amazon, ElemenAI, Spotify
@rroxana.bsky.social
Assistant professor @utrechtuniversity.bsky.social Multi-objective multi-agent RL and everything in between
@jeffdean.bsky.social
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...