Ege Kaan Duman
rhodes scholar, anthropologist, building AI LaTeX Editor @simplifine.bsky.social
@aliciacurth.bsky.social
Machine Learner by day, 🦮 Statistician at ❤️ In search of statistical intuition for modern ML & simple explanations for complex things👀 Interested in the mysteries of modern ML, causality & all of stats. Opinions my own. https://aliciacurth.github.io
@pamattei.bsky.social
Research scientist, Inria. Statistical machine learning.
@emilevankrieken.com
Post-doc @ University of Edinburgh. Neurosymbolic Machine Learning, Generative Models, NLP https://www.emilevankrieken.com/
@pierrealquier.bsky.social
Professor of Statistics @ ESSEC Business School Asia-Pacific campus Singapore 🇸🇬 https://pierrealquier.github.io/ Previously: RIKEN AIP 🇯🇵 ENSAE Paris 🇫🇷 🇪🇺 UCD Dublin 🇮🇪 🇪🇺 Random posts about stats/maths/ML/AI, poor jokes & birds photo 🌈
@neuralnoise.com
Researcher in ML/NLP at the University of Edinburgh (faculty at Informatics and EdinburghNLP), Co-Founder/CTO at www.miniml.ai, ELLIS (@ELLIS.eu) Scholar, Generative AI Lab (GAIL, https://gail.ed.ac.uk/) Fellow -- www.neuralnoise.com, he/they
@clementinedomine.bsky.social
•PhD student @ https://www.ucl.ac.uk/gatsby 🧠💻 •Masters Theoretical Physics UoM|UCLA🪐 •Intern @zuckermanbrain.bsky.social| @SapienzaRoma | @CERN | @EPFL https://linktr.ee/Clementine_Domine
@richtarik.bsky.social
Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes 🏓🏋️♂️🎾🏐⛷️⛸️🧘♂️🤿🎹🎸✈️🏔️📷☀️🐈🍅🥚☕️
@laurentdinh.bsky.social
Internet pedestrian. ✨Content creator✨ (ML researcher). ᕕ(ツ)ᕗ (he/him/his) https://laurent-dinh.github.io/
@georgetakei.bsky.social
I’ve boldly gone into the clear blue yonder. Follow for more recipes and tips.
@markhamillofficial.bsky.social
Believe in yourself! Work hard, never give up & anything's possible! OR: Kick back, relax & aim low: You'll never be disappointed...😜 I IGNORE ALL DMs!
@chrislhayes.bsky.social
Bronx boy. Cubs fan. Dad, husband, writer, podcaster and cable news host. The Sirens’ Call: How Attention Became the World’s Most Endangered Resource out now. https://sirenscallbook.com/
@levarburton.bsky.social
Kunta, Geordi, Reading Rainbow guy. Flies twice as high… #bydhttmwfi
@janstuehmer.bsky.social
ML for Science, Interpretability & GNNs. Jun.-Prof. @ KIT. ML-Group @ Heidelberg Institute for Theoretical Studies. Previously Samsung AI, Microsoft Research, MIT-CSAIL, TUM & Caltech. Opinions and typos are my own.
@petar-v.bsky.social
Senior Staff Research Scientist, Google DeepMind Affiliated Lecturer, University of Cambridge Associate, Clare Hall GDL Scholar, ELLIS @ellis.eu 🇷🇸🇲🇪🇧🇦
@simonbatzner.bsky.social
Senior RS at DeepMind. Likes deep learning, supercomputing, physics. Prev: Google Brain, Harvard, MIT, NASA
@uwproteindesign.bsky.social
We create proteins that solve modern challenges in medicine, technology, and sustainability. • 2024 Nobel Prize in Chemistry • University of Washington, Seattle → ipd.uw.edu
@taco-cohen.bsky.social
Deep learner at FAIR. Into codegen, RL, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
@johannbrehmer.bsky.social
Machine learner & physicist. At CuspAI, I teach machines to discover materials for carbon capture. Previously Qualcomm AI Research, NYU, Heidelberg U.
@mgalkin.bsky.social
Research Scientist @ Google. Prev: Intel, Postdoc @mila-quebec.bsky.social & McGill. GraphML, GNNs, Geometric DL, Knowledge Graphs. Grandmaster of 80's music (according to Spotify)
@sebastianlerch.bsky.social
Junior research group leader at the Karlsruhe Institute of Technology, interested in probabilistic forecasting, statistics, ML, with applications in weather, energy, environmental sciences, and beyond
@erikjbekkers.bsky.social
AMLab, Informatics Institute, University of Amsterdam. ELLIS Scholar. Geometry-Grounded Representation Learning. Equivariant Deep Learning.
@zorah.bsky.social
Assistant professor, University of Bonn and Lamarr Institute, Geometry on Machine Learning group
@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.
@arcinstitute.org
A new scientific institution for curiosity-driven biomedical science and technology.
@broadinstitute.org
A multidisciplinary community of researchers with the mission to better understand the roots of disease and narrow the gap between new biological insights and impact for patients. Broadinstitute.org
@grynova.bsky.social
Associate Professor of Computational Chemistry, University of Birmingham https://www.grynova-ccc.org/ views my own
@jwvdm.bsky.social
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
@jgreener64.bsky.social
Computational chemist/structural bioinformatician working on improving molecular simulation at MRC Laboratory of Molecular Biology. jgreener64.github.io
@danielzuegner.bsky.social
Senior Researcher @msftresearch.bsky.social #AI for #Science. Past: PhD @ TUM, internships @ Amazon AWS, Spotify. Amateur Photographer in my free time.
@compbiologist.bsky.social
ML/AI methods & tools for using massive public data collections to gain insights into complex disease mechanisms. Associate Professor & Group leader thekrishnanlab.org at the Dept. of Biomedical Informatics at CU Anschutz.
@jonasspinner.bsky.social
PhD student working on machine learning for high energy physics. Interested in equivariant architectures and generative modelling.
@haesleinhuepf.bsky.social
Biomedical Computer Vision & Language Models, scads.ai / Leipzig University, also NFDI4BIOIMAGE, NEUBIAS/GloBIAS, GPUs, AI, ML 🔬🖥️🚀 views:mine
@anilananth.bsky.social
Journalist with bylines in Nature, Quanta, Scientific American, New Scientist, and many more; former deputy news editor at New Scientist Author of 4 popular science books, including WHY MACHINES LEARN: The Elegant Math Behind Modern AI; TED speaker
@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
@smnlssn.bsky.social
Associate Professor at Chalmers. AI for molecular simulation and inverse design. WASP Fellow. ELLIS Member. https://userpage.fu-berlin.de/solsson/
@paulvilloutreix.bsky.social
Mathematical and systems biologist | Junior Professor INSERM & Group Leader Turing Center for Living Systems | https://bioml.lis-lab.fr
@cppape.bsky.social
Group leader @ Uni Göttingen for Computational Cell Analytics. Working on AI for biology and medicine with a focus on microscopy image analysis with deep learning. https://user.informatik.uni-goettingen.de/~pape41/
@halloulab.bsky.social
Group of Adrien Hallou @kiroxford.bsky.social @ox.ac.uk Biophysics & spatial biology of cell fate decisions & tissue dynamics Alumnus @cambridgeuni.bsky.social @normalesup.bsky.social Franco-British Young Leader 2024 🇨🇵🇬🇧
@amlab.bsky.social
The official account of the Amsterdam Machine Learning Lab (AMLab) at UvA, co-directed by Max Welling and Jan-Willem van de Meent.
@gklambauer.bsky.social
Deep Learning researcher | professor for Artificial Intelligence in Life Sciences | inventor of self-normalizing neural networks | ELLIS program Director
@jakhmack.bsky.social
#AI4Science #CompNeuro #NeuroAI #SBI www.mackelab.org @mackelab.bsky.social · Prof Uni Tuebingen ML4Science BCCN tue.ai · Adjunct MPI IS · Fellow ellis.eu · currently hiring postdocs and PhD students · sometimes goes for a run
@parlange.bsky.social
CS PhD student | Machine Learning for Astrophysics | Legacy Survey of Space and Time [LSST] | Dark Energy and Strong Lensing Science Collaborations [DESC/SLSC]
@astroroyalscot.bsky.social
Astronomer Royal for Scotland, Professor of Astrophysics, Edinburgh University. Director of the German Centre for Cosmological Lensing, RUB. #LongCovid (She/her)