Peter Richtarik
Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes ๐๐๏ธโโ๏ธ๐พ๐โท๏ธโธ๏ธ๐งโโ๏ธ๐คฟ๐น๐ธโ๏ธ๐๏ธ๐ทโ๏ธ๐๐
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@polavieja.bsky.social
Scientist at Champalimaud Foundation (polaviejalab.org) and co-founder of Algebraic AI (algebraic.ai). #Maths4AI #AI4Science, #BehaviorAI #NeuroAI #CognitionAI #CollectiveBehavior
@carl-allen.bsky.social
Laplace Junior Chair, Machine Learning ENS Paris. (prev ETH Zurich, Edinburgh, Oxford..) Working on mathematical foundations/probabilistic interpretability of ML (what NNs learn๐คทโโ๏ธ, disentanglement๐ค, king-man+woman=queen?๐โฆ)
@leenacvankadara.bsky.social
Lecturer @GatsbyUCL; Previously Applied Scientist @AmazonResearch; PhD @MPI-IS @UniTuebingen
@ernestryu.bsky.social
Professor of Applied Mathematics at UCLA. Interested in deep learning and optimization.
@eadeli.bsky.social
Assistant Prof at Stanford, Director of Stanford Translational AI (STAI) Lab Computer Vision, Computational Neuroscience
@danielrock.bsky.social
Assistant Professor at UPenn/Wharton OID researching economics of AI and productivity. Fan of dogs.
@aleximas.bsky.social
Economics + Applied AI, Prof at University of Chicago Booth School of Business. Formerly: Carnegie Mellon, UCSD, Northwestern. Website: www.aleximas.com
@laurenceai.bsky.social
Lecturer at the University of Bristol. probabilistic ML, optimisation, interpretability, LLM evals.
@dccsillag.xyz
Applied mathematician working on machine learning, statistics and compilers. Currently doing research at FGV EMAp. dccsillag.xyz
@dansitu.bsky.social
AI and machine learning on embedded systems! Director of ML at Edge Impulse, ex-Google AI. Author of "AI at the Edge" and "TinyML" from O'Reilly. http://dansitu.substack.com/ https://edgeimpulse.com/
@mkoeppe.bsky.social
Professor, UC Davis #Mathematics. He/him. #DavisCA. Made #SageMath pip-installable @passagemath.org. https://github.com/mkoeppe #Python #OpenSource #cutgeneratingfunctionology #optimization #orms I block accounts to increase reading focus.
@richardcsuwandi.bsky.social
PhD Student @ CUHK-Shenzhen | LLMs, BayesOpt, probabilistic ML https://richardcsuwandi.github.io
@erfunmirzaei.bsky.social
Researcher @PontilGroup.bsky.social| Ph.D. Student @ellis.eu, @Polytechnique, and @UniGenova. Interested in (deep) learning theory and others.
@moleitaomath.bsky.social
Georgia Tech Prof; Tsinghua (Math+Phys), Caltech (Control & Dynamical Systems), NYU Courant (Applied & Computational Math) * deep learning theory * (diffusion) generative model, probabilistic machine learning * AI4Science
@digthatdata.bsky.social
Probabilistic ML, Learning Theory, Philosophy of Science, Complex Systems, Nonlinear Dynamics, Disinformation Intervention YIMBY Research MLE, CoreWeave + EleutherAI xStabilityai | xMSFT | xAMZN What I'm reading: https://dmarx.github.io/papers-feed/
@seba-1511.bsky.social
Research Scientist at Google DeepMind Gemini evals and post-training sebarnold.net
@hildekuehne.bsky.social
Professor for CS at the Tuebingen AI Center and affiliated Professor at MIT-IBM Watson AI lab - Multimodal learning and video understanding - GC for ICCV 2025 - https://hildekuehne.github.io/
@puneeshdeora.bsky.social
PhD student at UBC; ML Theory and Optimization; Loves memes :) puneesh00.github.io
@voxmenthe.bsky.social
ML Research Engineer - occasional posts on NLP, RL, ML, LLMs etc Also occasional random stuff
@caroladoerr.bsky.social
CNRS research director at Sorbonne University in Paris. Interested in black-box optimization (theory, benchmarking, applications, learning,...). ERC project dynaBBO on dynamic black-box optimization algorithms (consolidator grant)
@renaudgaucher.bsky.social
PhD student at รcole polytechnique. Optimization, machine learning, robustness renaudgaucher.github.io
@mahdiyar95.bsky.social
Phd Candidate @Queenโs University | Responsible AI, Federated Learning, Representation Learning| molahasani.ca
@srxat.bsky.social
I dabble in Computer Vision and Machine Learning. Applied [email protected], PhD@StonyBrookUniversity Prev: Meta, Adobe, Amazon http://shahrukhathar.github.io/
@tomdiethe.com
Head of the Centre for Artificial Intelligence, DS&AI, Biopharma R&D, AstraZeneca Views are my own
@avehtari.bsky.social
Professor in computational Bayesian modeling at Aalto University, Finland. Bayesian Data Analysis 3rd ed, Regression and Other Stories, and Active Statistics co-author. #mcmc_stan and #arviz developer. Also in Mastodon: https://bayes.club/@avehtari
@kevinkaichuang.bsky.social
Principal Researcher in BioML at Microsoft Research. He/him/ไป. ๐น๐ผ yangkky.github.io
@tdietterich.bsky.social
Safe and robust AI/ML, computational sustainability. Former President AAAI and IMLS. Distinguished Professor Emeritus, Oregon State University. https://web.engr.oregonstate.edu/~tgd/
@melaniemitchell.bsky.social
Professor, Santa Fe Institute. Research on AI, cognitive science, and complex systems. Website: https://melaniemitchell.me Substack: https://aiguide.substack.com/
@moalquraishi.bsky.social
MLing biomolecules en route to structural systems biology. Asst Prof of Systems Biology @Columbia. Prev. @Harvard SysBio; @Stanford Genetics, Stats.
@mrattray.bsky.social
Professor of Computational & Systems Biology at University of Manchester. Applies machine learning and modelling to help understand the complexity of biology. idsai.manchester.ac.uk, https://www.ellismcr.org, @official-uom.bsky.social
@lawrennd.bsky.social
Professor of Machine Learning, University of Cambridge, academic lead of ai@cam, Accelerate Science, author of The Atomic Human, proceedings editor for PMLR.
@davidaknowles.bsky.social
machine learning and functional/statistical genetics. Associate Prof @Columbia and Core Faculty @nygenome. he/him/his. https://daklab.github.io/
@martinsteinegger.bsky.social
Developing data intensive computational methods โข PI @ Seoul National University ๐ฐ๐ท โข #FirstGen โข he/him โข Hauptschรผler
@uwproteindesign.bsky.social
We create proteins that solve modern challenges in medicine, technology, and sustainability. โข 2024 Nobel Prize in Chemistry โข University of Washington, Seattle โ ipd.uw.edu
@activelearner.bsky.social
Principal Machine Learning Scientist @PrescientDesign @Genentech @Roche | @NYUDataScience PhD | developing AI agents for scientific discovery in biotech
@smukherjee89.bsky.social
Senior Manager @ Oracle Health. Interested in clinical LLMs, ML + genetics!! Ex-insitro, Microsoft AI4Good, UW. Biriyani expert. Kolkata-> Seattle. Views are my own. Scholar: https://shorturl.at/QTBGR Linkedin: https://shorturl.at/WuGl
@roshanrao.bsky.social
Proteins, evolutionary models, unsupervised learning. Prev: Research Scientist MetaAI, PhD Berkeley. he/him.
@evanatyourservice.bsky.social
ML/RL enthusiast, second-order optimization, plasticity, environmentalist
@ravimangal.bsky.social
Computer Scientist. Assistant Professor at Colorado State University. Formal Methods + Trustworthy Machine Learning
@mjedmonds.bsky.social
โ๏ธ๐ Building Robotaxis @Cruise | ๐ซ Building community @Somerville | ๐ ML PhD @UCLA mjedmonds.com
@sethts.bsky.social
Deep Learning practitioner, enterprise software, math PhD, piano enthusiast, omnivorous reader
@aslandizaji.bsky.social
Artificial Intelligence, Machine Learning, Neuroscience, Complex Systems, Economics. Cofounder: @AutocurriculaLab, @NeuroAILab, @LangTechAI. https://sites.google.com/a/umich.edu/aslansdizaji/
@minhaksong.bsky.social
Undergraduate student at KAIST Interests: DL theory, RL theory, optimization https://songminhak.github.io
@freakonometrics.bsky.social
Dad of 3 & born-again mathematician. Statistician, economist, fellow actuary & data addict. Professor & researcher in Montrรฉal, Canada. Previously in Paris, Hong Kong, Leuven & Rennes. Full of 'satiable curtiosity https://mastodon.social/@freakonometrics