@anunesalves.bsky.social
Computational biochemist (ligand binding kinetics, crowding) Junior group leader at the Technical University Berlin Associate editor at the Journal of Chemical Information and Modeling Brazilian in Germany
@stephanieaw.bsky.social
Computational Structural Biologist Assistant Professor @VanderbiltMPB wankowiczlab.com (she/her) Past: UCSF, Dana-Farber, Broad Institute, UMass Amherst
@berkerdemirel.bsky.social
PhD Candidate in Computer Science at IST Austria Working on Computer Vision and Deep Learning
@dinglingyao.bsky.social
@martinvoegele.bsky.social
Computational Biophysicist, Amateur Photographer, History+Language Nerd. All views my own. Website: https://martinvoegele.github.io/
@ballarin.cc
PhD student in (neuro-inspired) Deep Learning at the University of Trieste, Italy. Also: adversarially-robust/trustworthy/Bayesian DL, kernel methods, computational neuroscience. Quantitativist. Overenthusiastic tinkerer. https://ballarin.cc/
@jannisblrn.bsky.social
Research Scientist @IBM - AI for Scientific Discovery! Tech & sports enthusiast
@marcofm.bsky.social
PostDoc @ISTAustria 🧑🏻💻 | Organizer of @unireps.bsky.social | Member @ellis.eu | Prev. PhD @SapienzaRoma @ELLISforEurope | @amazon AWS AI | @autodesk AI Lab | (he/him)
@zacharylipton.bsky.social
Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
@shubhendu.bsky.social
Interests on bsky: ML research, applied math, and general mathematical and engineering miscellany. Also: Uncertainty, symmetry in ML, reliable deployment; applications in LLMs, computational chemistry/physics, and healthcare. https://shubhendu-trivedi.org
@biaunit.bsky.social
The BioImage Analysis Unit designs innovative computational methods to address challenging biological questions through rigorous quantitative approaches @Icy_bioimaging.bsky.social https://research.pasteur.fr/en/team/bioimage-analysis/ @InstitutPasteur
@ffabffrasca.bsky.social
Postdoctoral Fellow at Technion — Geometric Deep Learning in some of its various forms — PhD at Imperial College London — Previously Twitter, Fabula AI and Politecnico di Milano「 心 」🌟
@icannistraci.bsky.social
PostDoc at ETH Zurich | Prev. PhD at Sapienza Roma| Working on Representation Learning. irene.cannistraci.dev
@avt.im
Decision-making under uncertainty, machine learning theory, artificial intelligence · anti-ideological · Assistant Research Professor, Cornell https://avt.im/ · https://scholar.google.com/citations?user=EGKYdiwAAAAJ&sortby=pubdate
@michaelhoffman.bsky.social
Chair, Computational BIology and Medicine Program, Princess Margaret Cancer Centre, University Health Network. Associate Professor, Medical Biophysics, University of Toronto. Disclosures: https://github.com/michaelmhoffman/disclosure/
@lindorfflarsen.bsky.social
Protein and coffee lover, father of two, professor of biophysics and sudo scientist at the Linderstrøm-Lang Centre for Protein Science, University of Copenhagen 🇩🇰
@aspuru.bsky.social
Professor of Chemistry and Computer Science University of Toronto Faculty member, Vector Institute Director, Acceleration Consortium Senior Director of Quantum Chemistry NVIDIA My views expressed here are personal and are not those of my employers.
@johannbrehmer.bsky.social
Machine learner & physicist. At CuspAI, I teach machines to discover materials for carbon capture. Previously Qualcomm AI Research, NYU, Heidelberg U.
@pseudomanifold.topology.rocks
Dad · Geometry ∩ Topology ∩ Machine Learning Professor at University of Fribourg While #geometry & #topology may not save the world, they may well save something that is homotopy-equivalent to it. 🏠 https://bastian.rieck.me/ 🏫 https://aidos.group
@erikjbekkers.bsky.social
AMLab, Informatics Institute, University of Amsterdam. ELLIS Scholar. Geometry-Grounded Representation Learning. Equivariant Deep Learning.
@ninamiolane.bsky.social
Assis. Prof. @ucsbece Affiliate @SLAClab Stanford Prev @Stanford @Inria @imperialcollege @Polytechnique PI @geometric_intel http://gi.ece.ucsb.edu, Pilot
@kirtyvedula.bsky.social
Machine learning for sciences. Ph.D. 2020. Husband, father, nerd. Based in San Diego, CA.
@vicenteor.bsky.social
Rice University, Associate Professor of Computer Science. Computer Vision, Multimodal AI, Deep Learning. Houston, Texas. Check our work at https://vislang.ai/
@jonkhler.argmin.xyz
web @ https://argmin.xyz interests: machine learning, ai4science, algorithms, coding member of technical staff @ https://cusp.ai past @ MSR, DeepMind, MPI-IS home @ Heimbach (Gilserberg), Berlin, Europe born @ 353 ppm block toxicity he/him
@anshulkundaje.bsky.social
Genomics, Machine Learning, Statistics, Big Data and Football (Soccer, GGMU)
@libuchauer.bsky.social
Computational Biologist. Mathematical models, omics methods and data analysis for immunology and infection research at Charité Berlin. https://buchauer-lab.eu
@itaiyanai.bsky.social
Professor at the NYU School of Medicine (https://yanailab.org/). Co-host of the 'Night Science Podcast' https://podcasts.apple.com/us/podcast/night-science/id1563415749
@zoeharrington.bsky.social
Phd Student @istaresearch.bsky.social | MSc BCCN Berlin | UWC Alum
@maiorca.xyz
Apple MLR (Barcelona) intern | ELLIS Ph.D. student in representation learning @SapienzaRoma & @ISTAustria | Former NLP Engineer @babelscape flegyas.github.io
@mmbronstein.bsky.social
DeepMind Professor of AI @Oxford Scientific Director @Aithyra Chief Scientist @VantAI ML Lead @ProjectCETI geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶
@melaniemitchell.bsky.social
Professor, Santa Fe Institute. Research on AI, cognitive science, and complex systems. Website: https://melaniemitchell.me Substack: https://aiguide.substack.com/
@davidpfau.com
So far I have not found the science, but the numbers keep on circling me. Views my own, unfortunately.
@tkipf.bsky.social
Research at Google DeepMind. Ex-Physicist. Controllable World Simulators (GNNs, Structured World Models, Neural Assets). 📍 San Francisco, CA
@chrmanning.bsky.social
Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
@jerremy.bsky.social
Director of AI Research at Apple. Board Chair for Partnership on AI. Photographer. Musician.
@karen-ullrich.bsky.social
Research scientist at FAIR NY ❤️ Machine Learning + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
@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
@petar-v.bsky.social
Senior Staff Research Scientist, Google DeepMind Affiliated Lecturer, University of Cambridge Associate, Clare Hall GDL Scholar, ELLIS @ellis.eu 🇷🇸🇲🇪🇧🇦
@abeirami.bsky.social
GenAI post-training at Google DeepMind / Google Research | ex-{Meta, EA, MIT, Harvard, Duke} | Georgia Tech PhD | زن زندگی آزادی | opinions my own 📍{NYC, YYZ} 🔗 https://www.mit.edu/~beirami/
@smerity.bsky.social
Always pondering startups, ML, Rust, Python, and 3D printing. Independent ML researcher consulting on LMs + data. Previously: Salesforce Research, MetaMind, CommonCrawl, Harvard. 🇦🇺 in SF. He/him. Personal blog: https://state.smerity.com
@roydanroy.bsky.social
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst. Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
@catalinacangea.bsky.social
ex-GenMusic co-lead @ DeepMind 👩🏻💻 🎸🎹, prog/metal/alt/classic rock, jazz, poetry, 🚣🏻♀️🚴🏻♀️🧘🏻♀️, traveling, festivals. Sometimes ❤️s AI/ML/data 📊 Attends too many concerts 🎫 King's/Darwin/Murray Edwards College, University of Cambridge 🎓