Dan Kowal
Associate Professor of Statistics and Data Science at Cornell University.
https://www.danielrkowal.com/
@lukfor.bsky.social
Assistant Professor of Genome Informatics. MedUni Innsbruck. Cloud Computing, Machine Learning, AI, Genotype Imputation. Open Source and Open Science. Co-Creator of Michigan Imputation Server and www.askimed.com. Creator of www.nf-test.com.
@rwinds.bsky.social
ML Research Scientist at Oxford Nanopore Technologies, mostly working on assembly & variant calling 🧬 Erstwhile physicist and computer vision DPhil @Oxford_VGG 👁️💻 Average chess player and runner.
@virginieuhlmann.bsky.social
Director of the BioVisionCenter at UZH and Research Group Leader at EMBL-EBI. Loves bioimage analysis, mountains, and birds.
@ceredalab.bsky.social
Cancer Genomics and Bioinformatics Lab @IIGM_genomics and @LaStatale | RNA oncology https://www.ceredalab.com/
@jla-gardner.bsky.social
ML for Potential Energy Surfaces PhD student at Oxford Former Microsoft AI4Science Intern
@srijitseal.com
Senior Chemøinformatician at Merck | Postdoc@Broad Institute of MIT and Harvard, Cambridge(MA) | PhD@University of Cambridge(UK) | AI, Image Analysis, bioML, -omics data, and Cell Painting for drug discovery. srijitseal.com/tools
@shantanu-singh.cc
computation biology, drug discovery, computer vision, microscopy, statistics, machine learning, all happening at https://carpenter-singh-lab.broadinstitute.org/
@annalenakofler.bsky.social
PhD Student at MPI-IS working on ML for Gravitational Waves | #MLforPhysics #SBI https://www.annalenakofler.com
@gcorso.bsky.social
PhD student @MIT • Research on Generative Models for Biophysics and Drug Discovery
@mchiaragrieco.bsky.social
Live. Learn. Explore 🌻 | PhD student in Computational Biology at @semm_it and @IIGM_genomics in Cancer Genomics and Bioinformatics Lab @ceredalab.bsky.social
@sethaxen.com
Empowering scientists with machine learning @mlcolab.org. Sometimes #Bayesian. Usually #FOSS. Preferably in #JuliaLang. Expat: 🇺🇸 ➡️ 🇩🇪 💼 On the job market (remote/Stuttgart area) sethaxen.com
@abursuc.bsky.social
Research Scientist at valeo.ai | Teaching at Polytechnique, ENS | Alumni at Mines Paris, Inria, ENS | AI for Autonomous Driving, Computer Vision, Machine Learning | Robotics amateur ⚲ Paris, France 🔗 abursuc.github.io
@jasmineplummer.bsky.social
#Genetics #neuroscience #cancer #singlecell #spatial #omics #datascience investigator, #STEM advocator, #fosteryouth protector, #wife #mom of 2 delicious daughters, views my own
@michaelcardei.bsky.social
Ph.D. Student in Computer Science at the University of Virginia Researching Responsible Generative AI Member of the RAISE Group Personal Website: https://michaelcardei.github.io/
@claudiozeni.bsky.social
Applying machine learning to challenges in materials science. Senior Researcher at Microsoft research AI for Science. Views are my own
@doyoungkim-ml.bsky.social
Incoming CS PhD @NYU_Courant; Prieviously MS & BS @kaist_ai; General intelligence in Language ∪ Robotics https://doyoungkim-ml.github.io/
@alexechu.bsky.social
Deep learning & protein design. Currently designing stuff at Google DeepMind, previously at Stanford with Possu Huang. alexechu.github.io
@gdefabritiis.bsky.social
Computer Simulations, Computational Intelligence, AI. Research professor and interim CEO acellera.com. Lab: www.compscience.org Scholar: https://scholar.google.com/citations?hl=en&user=-_kX4kMAAAAJ&view_op=list_works&sortby=pubdate
@rdkbio.bsky.social
🧬 Structural Bioinformatics | 💊 AI/ML for Drug Discovery | Geometric DL 🔬 @iocbprague.bsky.social, prev. PhD @cusbg.bsky.social @mff.unikarlova.cuni.cz
@austinjtripp.bsky.social
(ML ∪ Bayesian optimization ∪ active learning) ∩ (drug discovery) Researcher @valenceai.bsky.social Details: austintripp.ca
@nantas.bsky.social
AI @ Pacific Fusion. Climate change monomaniac. PhD @ Oxford. Prev: Carbon Re, DeepMind, FAIR, MSR, […] 🌍 / 🇪🇺 / 🇮🇹 / he / him. Website: arbitrarygravitas.com
@tkipf.bsky.social
Research at Google DeepMind. Ex-Physicist. Controllable World Simulators (GNNs, Structured World Models, Neural Assets). TLM Veo Capabilities (Ingredients & more). 📍 San Francisco, CA
@milescranmer.bsky.social
AI + Astro/Physics. Assistant Prof at Cambridge. astroautomata.com/
@proflhunter.bsky.social
Knowledge based biomedical data science, artificial intelligence for discovery in molecular biomedicine, computational bioethics, theory of mattering. University of Chicago / Big Island HI
@makagan.bsky.social
Physics + Machine Learning Scientist at SLAC National Laboratory at Stanford
@oliu-io.bsky.social
https://ollieliu.com/; oliver irl phd'ing in ml@usc; prev. ml@cmu, msr multimodal foundation models, ai4sci, decision making
@vincefort.bsky.social
PI at Helmholtz AI, Faculty at TU Munich, Fellow at Zuse School for reliable AI, Branco Weiss Fellow, ELLIS Scholar. Prev: Cambridge CBL, St John's College, ETH Zürich, Google Brain, Microsoft Research, Disney Research. https://fortuin.github.io/
@maosbot.bsky.social
Parent, spouse, Australian, Professor of Machine Learning in Oxford. Bayesian ML, Long Covid, trans rights, photos of dog, AI must be good for humans, https://www.robots.ox.ac.uk/~mosb
@blackhc.bsky.social
My opinions only here. 👨🔬 RS DeepMind Past: 👨🔬 R Midjourney 1y 🧑🎓 DPhil AIMS Uni of Oxford 4.5y 🧙♂️ RE DeepMind 1y 📺 SWE Google 3y 🎓 TUM 👤 @nwspk
@eringrant.bsky.social
Senior Research Fellow @ ucl.ac.uk/gatsby & sainsburywellcome.org {learning, representations, structure} in 🧠💭🤖 my work 🤓: eringrant.github.io not active: sigmoid.social/@eringrant @[email protected], twitter.com/ermgrant @ermgrant
@fxbriol.bsky.social
Associate Professor at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
@nolovedeeplearning.bsky.social
human being | assoc prof in #ML #AI #Edinburgh | PI of #APRIL | #reliable #probabilistic #models #tractable #generative #neuro #symbolic | heretical empiricist | he/him 👉 https://april-tools.github.io
@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
@shakirm.bsky.social
AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com
@canaesseth.bsky.social
Assistant Professor of Machine Learning Generative AI, Uncertainty Quantification, AI4Science Amsterdam Machine Learning Lab, University of Amsterdam https://naesseth.github.io
@alexlew.bsky.social
Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS
@yaringal.bsky.social
Associate Professor of Machine Learning, University of Oxford; OATML Group Leader; Director of Research at the UK government's AI Safety Institute (formerly UK Taskforce on Frontier AI)
@jwvdm.bsky.social
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
@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
@marvinschmitt.bsky.social
🇪🇺 AI/ML, Member @ellis.eu 🤖 Generative NNs, ProbML, Uncertainty Quantification, Amortized Inference, Simulation Intelligence 🎓 PhD+MSc CS, MSc Psych 🏡 marvinschmitt.github.io ✨ On the job market, DMs open 📩
@lenazellinger.bsky.social
ELLIS PhD student at the University of Edinburgh https://lenazellinger.github.io/
@timrudner.bsky.social
Assistant Professor & Faculty Fellow, NYU. AI Fellow, Georgetown University. Probabilistic methods for robust and transparent ML & AI Governance. Prev: Oxford, Yale, UC Berkeley. https://timrudner.com
@alexalemi.bsky.social
Machine Learning Researcher https://alexalemi.com https://blog.alexalemi.com
@lacerbi.bsky.social
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
@aaronschein.bsky.social
Assistant Professor of Statistics & Data Science at UChicago Topics: data-intensive social science, Bayesian statistics, causal inference, probabilistic ML Proud “golden retriever” 🦮
@dianarycai.bsky.social
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science. www.dianacai.com