Seth Axen 🪓
Empowering scientists with machine learning @mlcolab.org. Sometimes #Bayesian. Usually #FOSS. Preferably in #JuliaLang.
Expat: 🇺🇸 ➡️ 🇩🇪
💼 On the job market (remote/Stuttgart area)
sethaxen.com
@desirivanova.bsky.social
Research fellow @OxfordStats @OxCSML, spent time at FAIR and MSR Former quant 📈 (@GoldmanSachs), former former gymnast 🤸♀️ My opinions are my own 🇧🇬-🇬🇧 sh/ssh
@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
@tychovdo.bsky.social
Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
@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/
@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)
@mgorinova.bsky.social
ex-@TwitterCortex @Birdwatch 💙 | Now LLMs for innovation & IP 🚀 | PhD in probabilistic machine learning, loyal servant to a cat, collector of random variables, lover of well-placed puns https://mgorinova.github.io/
@canaesseth.bsky.social
Assistant Professor of Machine Learning Generative AI, Uncertainty Quantification, AI4Science Amsterdam Machine Learning Lab, University of Amsterdam https://naesseth.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
@quarto.org
Open-source scientific and technical publishing system brought to you by posit.co. github.com/quarto-dev/quarto-cli
@mgollub.bsky.social
🧬💻 | Director of Machine Learning @jura.bsky.social | Probabilistic models, ML, Molecular biology, Immune receptors.
@mlcolab.org
We accelerate research in the sciences and humanities with machine learning; part of the @ml4science.bsky.social cluster at @unituebingen.bsky.social Web: mlcolab.org Member profiles: @sethaxen.com @vstaros.bsky.social
@schumacherlu.bsky.social
Postdoctoral Researcher at University of Basel Interested in Cognitive Modeling | Decision Making | Dynamics in Cognition | Amortized Bayesian Inference | Superstatistics
@stefanradev.bsky.social
Assistant Professor at Rensselaer Polytechnic Institute (RPI) Bayesian | Computational guy | Name dropper | Deep learner | Book lover Opinions are my own.
@lacerbi.bsky.social
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
@elseml.bsky.social
💡 PhD candidate @ Heidelberg University. 🌱 AI for science - simulation-based inference, robust machine learning & cognitive modeling.
@bayesflow.org
Amortized Bayesian Workflows in Python. 🎲 Post author sampled from a multinomial distribution, choices ⋅ @marvinschmitt.bsky.social ⋅ @paulbuerkner.com ⋅ @stefanradev.bsky.social 🔗GitHub github.com/bayesflow-org/bayesflow 💬Forum discuss.bayesflow.org
@fxbriol.bsky.social
Associate Professor at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
@sbi-devs.bsky.social
Community-maintained simulation-based inference (SBI) toolkit in PyTorch: • NPE, NLE & NRE • amortized and sequential inference • wide range of diagnostics Posts written by @deismic.bsky.social & @janboelts.bsky.social. 🔗 https://github.com/sbi-dev/sbi
@benblaiszik.bsky.social
Group Leader - AI and data infrastructure for science at UChicago/Argonne/Globus - UofIllinois alum. materials, chemistry, physics. Opinions are my own.🤖🔬
@alvaro.teje.ro
@trappmartin.bsky.social
ML Researcher @ Aalto University 🇫🇮. Previous: TU Graz 🇦🇹, originally from 🇩🇪. Doing: Reliable ML | uncertainty stuff | Bayesian stats | probabilistic circuits https://trappmartin.github.io/
@jeffreyjgray.bsky.social
Johns Hopkins Chemical & Biomolecular Engineering Professor, Co-Director of RosettaCommons, protein engineer, Baltimore resident, father of two. he/him
@titus.idyll.org
I am not a deep man, but I have many shallows. [email protected], http://ivory.idyll.org/blog/.
@frutag33.bsky.social
Assist. Prof. @StanfordBiochem & @DevBioStanford | #NewPI www.funrscience.com UC Davis ➡️ UCSF ➡️ UC Berkeley ➡️ Stanford | my opinions (she/her) 💜👑🏀 |✌🏾🇷🇼🇨🇩🇺🇸 ORCID: 0000-0001-5587-1872
@wallaceucsf.bsky.social
professor at UCSF, engineer turned cell biologist, wants to know how cells solve geometry problems
@bradyharan.bsky.social
Videos & Podcasts More about my work at: https://linktr.ee/bradyharan
@yimmieg.bsky.social
Genome scientist becoming engineer. Immunologist. Geneticist. Dabbles in statistics and statistical learning. Home @UCSF, affiliated with Arc and PICI.
@igech.bsky.social
Computational biophysicist @UCSF. @JohnsHopkins alumni. Interested in macromolecular assemblies, host-pathogen interactions, and data integration.
@christacaggiano.bsky.social
Bioinformatics PhD 🧬🧬🧬 Postdoc at the Institute for Genomic Health at Mount Sinai
@shruthilab.bsky.social
Computational Structural Biology, NCBS, TIFR, Bangalore Lab: https://isblab.ncbs.res.in
@stat110.bsky.social
Statistician at Harvard. Probability and paradoxes. Statistics and data science. Books and chess.
@mackelab.bsky.social
We build probabilistic #MachineLearning and #AI Tools for scientific discovery, especially in Neuroscience. Probably not posted by @jakhmack.bsky.social. 📍@ml4science.bsky.social, Tübingen, Germany
@trentlikesstats.bsky.social
Statistician | Final year statistics PhD student | Open-source software developer | Just finished recording and producing my debut album | 🏳️🌈 https://hendersontrent.github.io
@niklasschmitz.bsky.social
PhD student at EPFL, Math for materials modelling. Prev CS at TU Berlin. github.com/niklasschmitz
@auschulz.bsky.social
PhD student @mackelab.bsky.social - machine learning in (neuro)science. Co-CEO of KI macht Schule gGmbH
@aifi.bsky.social
Machine Learning | Stein Fellow @ Stanford Stats (current) | Assistant Prof @ CMU (incoming) | PhD @ MIT (prev) https://andrewilyas.com
@viralinstruction.bsky.social
Bioinformatician and programmer. Here for the nerdy stuff.
@armandofalcucci.bsky.social
Archaeologist, Researcher @ Uni Tübingen. Paleolithic | Human Behavior | Lithic Technology | Rstats | 3D analysis. www.armandofalcucci.com
@rdgao.bsky.social
computational neuroscience, machine learning, occasionally cognitive science | inverting brain circuits towards translational neuroscience. 🌊 www.rdgao.com
@zeynepakata.bsky.social
Liesel Beckmann Distinguished Professor of Computer Science at Technical University of Munich and Director of the Institute for Explainable ML at Helmholtz Munich
@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
@benvincent.bsky.social
Data Scientist | Bayes | Causal reasoning | Python + Julia | Ex-academic | #MMT drbenvincent.github.io