@manasa-kani.bsky.social
🇨🇦 PhD student at ETH Zurich, 🇨🇭. Working at the intersection of HPC, ML, and Computational Materials Science to enable atomistic physics simulations at scale. Just joined bluesky. https://manasakani.github.io
@aaronjhavens.bsky.social
PhD student at UIUC looking at control theory and generative modeling. previously intern at FAIR NY and Preferred Networks Tokyo.
@maltefranke.bsky.social
Generative models for chemistry and materials science Currently ML intern at Dunia Previously MIT, ETH Zurich, EPFL, RWTH Aachen
@chaitjo.bsky.social
PhD student at University of Cambridge. Visitor at MRC LMB. Intern at FAIR, Meta & Prescient Design, Genentech. Interested in: 🔨 Deep learning: GNNs, Transformers and generative models. 🧬 Biomolecule design, especially RNA! https://chaitjo.com
@combayns-workshop.bsky.social
Combining Bayesian and Neural approaches for Structured Data. ComBayNS workshop @ IJCNN 2025 Conference, Rome, June 30-July 2 2025.
@standupforscience.bsky.social
Because Science is for everyone! 🧪🌎 Learn more ⬇️ http://linktr.ee/standupforscience 👯sister org: @sciforgood.bsky.social
@fionalippert.bsky.social
Postdoc at SRON | PhD at AMLab & AI4Science Lab, University of Amsterdam Interested in AI for Earth science & ecology, hybrid modeling, geospatial machine learning
@adrhill.bsky.social
PhD student at @bifold.berlin, Machine Learning Group, TU Berlin. Automatic Differentiation, Explainable AI and #JuliaLang. Open source person: adrianhill.de/projects
@graeterlab.bsky.social
We aim at unraveling the intricacies of molecular perception and designing sensing molecular systems from the ground up. We work at the interface of biophysics, biochemistry, and materials science. @ Max Planck Institute for Polymer Research, Mainz.
@dougmerritt.mathstodon.xyz.ap.brid.gy
I'm a philomath (many interests; call it polymath-wanna-be) professional computer programmer in Silicon Valley. #mathematics #computer_science #unicode […] [bridged from https://mathstodon.xyz/@dougmerritt on the fediverse by https://fed.brid.gy/ ]
@skiandsolve.bsky.social
⛷️ ML Theorist carving equations and mountain trails | 🚴♂️ Biker, Climber, Adventurer | 🧠 Reinforcement Learning: Always seeking higher peaks, steeper walls and better policies. https://ualberta.ca/~szepesva
@martaowesyou.bsky.social
UofT CompSci PhD Student in Alán Aspuru-Guzik's #matterlab and Vector Institute | prev. Apple
@tkasarla.bsky.social
Learning in non-Euclidean spaces | ELLIS PhD student @ VIS Lab, University of Amsterdam | Board Member @ WiCVWorkshop | Open to internships for spring/summer 2025.
@monaschir.bsky.social
PhD candidate @amlab.bsky.social @ellis.eu Probabilistic Machine Learning | Sequence Models
@killiansheriff.bsky.social
Ph.D. candidate @mit_dmse | @McGillUPhysics graduate | From 🇫🇷 | Doing Materials Science + AI research to better understand high-entropy alloys.
@profkinyon.bsky.social
Mathematics professor at the University of Denver. Quasigroups, Semigroups, Automated Deduction. He/Him. Also hanging out at Mathstodon.
@paolagorigiorgi.bsky.social
Computational/Theoretical/Mathematical Chemistry | Electrons | Density Functional Theory | presently at Microsoft Research AI for Science
@miltoskofinas.bsky.social
Postdoctoral researcher @vuamsterdam.bsky.social AI for climate | Graph Neural Networks | Geometric Deep Learning | Neural Fields | Spatiotemporal Forecasting mkofinas.github.io
@ivonajdenkoska.bsky.social
Postdoctoral Researcher @UvA_Amsterdam | Prev. @Meta, @KU_Leuven, @Netcetera_Buzz | Vision and Language
@jan.hermann.name
Computational chemistry & physics, electrons, deep learning 🚲☕️♟️ Microsoft Research AI for Science · https://jan.hermann.name
@janmatthis.bsky.social
Research scientist at Google in Zurich http://research.google/teams/connectomics PhD from @mackelab.bsky.social
@smnlssn.bsky.social
Associate Professor at Chalmers. AI for molecular simulation and inverse design. WASP Fellow. ELLIS Member. https://userpage.fu-berlin.de/solsson/
@pkrugman.bsky.social
@clement-bonet.bsky.social
Postdoctoral researcher at ENSAE interested in Optimal Transport. More information at: https://clbonet.github.io/
@lenaicchizat.bsky.social
Researcher in computational mathematics Theory of deep learning, optimal transport, optimization EPFL
@ncourty.bsky.social
Professor in Computer Science. Love and hate AI Optimal Transport Affinicionado Head of Obelix group @Irisa
@bunnech.bsky.social
Assistant Professor at @EPFL in Computer Science and Life Sciences. PostDoc at @Genentech and @Stanford. PhD at @ETH and @BroadInstitute. www.aimm.epfl.ch
@rflamary.bsky.social
ML Professor at École Polytechnique. Python open source developer. Co-creator/maintainer of POT, SKADA. https://remi.flamary.com/
@gabrielpeyre.bsky.social
@miniapeur.bsky.social
Gradient surfer at UCL. FR, EN, also trying ES. 🇹🇼🇨🇦🇬🇳🇺🇸🇩🇴🇫🇷🇪🇸🇬🇧🇿🇦. Also on Twitter.
@yoshuabengio.bsky.social
Full professor at UdeM, Founder and Scientific Advisor at Mila - Quebec AI Institute, A.M. Turing Award Recipient. Working towards the safe development of AI for the benefit of all. Website and blog: https://yoshuabengio.org/
@bengioe.bsky.social
Staff ML Scientist @valenceai.bsky.social Labs/Recursion Pharma, Mila GFlowNets, molecules & stuff https://folinoid.com
@preetumnakkiran.bsky.social
ML Research @ Apple. Understanding deep learning (generalization, calibration, diffusion, etc). preetum.nakkiran.org
@teorth.bsky.social
Mathematician at UCLA. My primary social media account is https://mathstodon.xyz/@tao . I also have a blog at https://terrytao.wordpress.com/ and a home page at https://www.math.ucla.edu/~tao/
@samayanissanke.bsky.social
Astrophysicist, gravitational waves and multi-messenger astronomy, working mother, European + 🌍 @ ❤️, British + born in London UK, professor at the University of Potsdam, DESY & German Centre for Astrophysics (DZA); also @GRAPPAcentre at Univ. of Amsterdam.
@johncarlosbaez.mathstodon.xyz.ap.brid.gy
I'm a mathematical physicist who likes explaining stuff. Sometimes I work at the Topos Institute. Check out my blog! I'm also a member of the n-Category […] [bridged from https://mathstodon.xyz/@johncarlosbaez on the fediverse by https://fed.brid.gy/ ]
@h2o64.bsky.social
PhD student at École Polytechnique and École Normale Supérieure - Generative models and Monte Carlo methods
@leon-lang.bsky.social
PhD Candidate at the University of Amsterdam. AI Alignment and safety research. Formerly multivariate information theory and equivariant deep learning. Masters degrees in both maths and AI. https://langleon.github.io/
@andykeller.bsky.social
Postdoctoral Fellow at Harvard Kempner Institute. Trying to bring natural structure to artificial neural representations. Prev: PhD at UvA. Intern @ Apple MLR, Work @ Intel Nervana