Discover the Languages of Biology
Build computational models to (help) solve biology? Join us! https://www.deboramarkslab.com
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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
Computational Structural Biologist
Assistant Professor @VanderbiltMPB
wankowiczlab.com
(she/her)
Past: UCSF, Dana-Farber, Broad Institute, UMass Amherst
Passionate for integrated structural biology, including NMR and many more. Particularly interested in protein dynamics, and therefore chaperones, enzymes and mitochondrial protein import.
Fortunate to lead a great research team at IST Austria.
PhD Candidate in Computer Science at IST Austria Working on Computer Vision and Deep Learning
Full Professor of Structural Biology
Osnabrueck University
Computational Biophysicist, Amateur Photographer, History+Language Nerd.
All views my own.
Website: https://martinvoegele.github.io/
PhD candidate in Deep Learning at the University of Trieste, Italy. Formerly visiting at @ucl.ac.uk. Representations, robustness, empirical methods, kernels, physics & neuroscience. Quantitativist, overenthusiastic tinkerer.
https://ballarin.cc/
PhD student in ML @UniTrieste
Research Scientist @IBM - AI for Scientific Discovery! Tech & sports enthusiast
PostDoc @ISTAustria 🧑🏻💻 | Organizer of @unireps.bsky.social | Member @ellis.eu | Prev. PhD @SapienzaRoma @ELLISforEurope | @amazon AWS AI | @autodesk AI Lab | (he/him)
Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
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
Photographer. Bibliophile. Traveler.
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
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 」🌟
PostDoc at ETH Zurich | Prev. PhD at Sapienza Roma| Working on Representation Learning.
irene.cannistraci.dev
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
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/
AI for biology | Stanford and Arc Institute
Protein and coffee lover, father of two, professor of biophysics and sudo scientist at the Linderstrøm-Lang Centre for Protein Science, University of Copenhagen 🇩🇰
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.
Machine learner & physicist. At CuspAI, I teach machines to discover materials for carbon capture. Previously Qualcomm AI Research, NYU, Heidelberg U.
Dad · Geometry ∩ Topology ∩ Machine Learning
Professor at University of Fribourg 🇨🇭
🏠 https://bastian.rieck.me/
🏫 https://aidos.group
☕️ https://ko-fi.com/pseudomanifold
AMLab, Informatics Institute, University of Amsterdam. ELLIS Scholar. Geometry-Grounded Representation Learning. Equivariant Deep Learning.
Assis. Prof. @ucsbece Affiliate @SLAClab Stanford Prev @Stanford @Inria @imperialcollege @Polytechnique PI @geometric_intel
http://gi.ece.ucsb.edu, Pilot
Machine Learning Researcher @ Apple
Machine learning @ASML. ML for science. Ph.D. 2020. Husband, father, nerd. Based in San Diego, CA.
Rice University, Associate Professor of Computer Science. Computer Vision, Multimodal AI, Deep Learning. Houston, Texas. Check our work at https://vislang.ai/
Assistant Prof at ISTA - Causal Learning and AI Lab
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
Genomics, Machine Learning, Statistics, Big Data and Football (Soccer, GGMU)
Computational Biologist.
Mathematical models, omics methods and data analysis for immunology and infection research at Charité Berlin.
https://buchauer-lab.eu
Professor at the NYU School of Medicine (https://yanailab.org/). Co-founder and Director of the Night Science Institute (https://night-science.org/). Co-host of the 'Night Science Podcast' https://podcasts.apple.com/us/podcast/night-science/id1563415749
PhD Student @istaresearch.bsky.social
Apple MLR (Barcelona) intern | ELLIS Ph.D. student in representation learning @SapienzaRoma & @ISTAustria | Former NLP Engineer @babelscape
flegyas.github.io
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, 🐎 🎶
Professor, Santa Fe Institute. Research on AI, cognitive science, and complex systems.
Website: https://melaniemitchell.me
Substack: https://aiguide.substack.com/
So far I have not found the science, but the numbers keep on circling me.
Views my own, unfortunately.
Research at Google DeepMind. Ex-Physicist. Controllable World Simulators (GNNs, Structured World Models, Neural Assets). TLM Veo Capabilities (Ingredients & more).
📍 San Francisco, CA
Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
Director of AI Research at Apple. Board Chair for Partnership on AI. Photographer. Musician.
Research scientist at FAIR NY ❤️ LLMs + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
Assistant Professor at @EPFL in Computer Science and Life Sciences. PostDoc at @Genentech and @Stanford. PhD at @ETH and @BroadInstitute.
www.aimm.epfl.ch
Senior Staff Research Scientist, Google DeepMind
Affiliated Lecturer, University of Cambridge
Associate, Clare Hall
GDL Scholar, ELLIS @ellis.eu
🇷🇸🇲🇪🇧🇦
stealth // Gemini RL+inference @ Google DeepMind // Conversational AI @ Meta // RL Agents @ EA // ML+Information Theory @ MIT+Harvard+Duke // Georgia Tech PhD
📍{NYC, SFO, YYZ}
🔗 https://beirami.github.io/
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
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.
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 🎓
I lead Cohere For AI. Formerly Research
Google Brain. ML Efficiency, LLMs,
@trustworthy_ml.
Director Data Science Institute @UWMadison, Professor of Physics,
EiC @MLSTjournal. Physics, stats/ML/AI, open science.
Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Founding chairman of www.publichealthactionnetwork.org
AI safety at Anthropic, on leave from a faculty job at NYU.
Views not employers'.
I think you should join Giving What We Can.
cims.nyu.edu/~sbowman
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
