she/her 🏳️⚧️🏳️🌈
O, let America be America again—
The land that never has been yet—
And yet must be—the land where every man is free.
PhD student at Berens lab @hertie-ai.bsky.social @unituebingen.bsky.social | #ELLIS & #IMPRS-IS PhD student | ML for science, NeuroAI | ex: @fz-juelich.de KTH IISERP
Expressive probabilistic programming language for writing statistical models. Fast Bayesian inference. Interfaces for Python, Julia, R, and the Unix shell. A rich ecosystem of tools for validation and visualization.
Home https://mc-stan.org/
Researcher at appliedAI Institute for Europe.
Working on simulation-based inference and responsible ML
IMPRS-IS PhD student @ Tübingen. Applied Mathematics & Probabilistic ML
History podcaster/author. Revolutions + The History of Rome
Professor for "Machine Learning in Science", University of Tübingen.
Artificial Intellgence as a source of inspiration in Science.
https://mariokrenn.wordpress.com/
(She/her)
PhD.
Working on biology cell simulations.
Engineering, ML, Constrained Optimization, Modelling, JuliaLang, AutoDiff, Programming
This is my professional bsky.
Hosting Slate’s daily news podcast What Next. Getting closer to God in a tight situation. Alum: WNYC Always: therealness.org
Prof at the University of British Columbia. Research in statistics, ML, and AI for science. Views are my own. https://charlesm93.github.io./
PhD student at @bifold.berlin, Machine Learning Group, TU Berlin.
Automatic Differentiation, Explainable AI and #JuliaLang.
Open source person: adrianhill.de
Tidier.jl is a data analysis package inspired by R's tidyverse and crafted specifically for Julia.
https://tidierorg.github.io/Tidier.jl/dev/
Research Scientist at Apple for uncertainty quantification.
Trained journalist and science communicator working and living in Tübingen.
math + writing + videos
www.youtube.com/@chalktalkmath
www.kelseyhoustonedwards.com
Cohost of Maintenance Phase. Author of two books. In a documentary called Your Fat Friend. She/her/hers. Photo by the wonderful Josh Coen. yrfatfriend@gmail.com
Solitary, poor, nasty, brutish and short.
PhD Student at the University of Tübingen
Interested in ML in Science, Probabilistic Inference & Simulation
Professor for ML and AI at Lamarr Institute / @tu-dortmund.de. Working on AutoML and Tabular Data. All opinions are my own.
This is the Tübingen research campus of the Max Planck Society in Germany. We do basic research in fields of biology, neuroscience, and AI.
For Institute specific updates follow:
@mpicybernetics.bsky.social
@mpi-bio-fml.bsky.social
IMPRS-IS PhD student @ University of Tübingen with Ulrike von Luxburg and Bedartha Goswami. Mostly thinking about deep learning theory. Also interested in ML for climate science.
mohawastaken.github.io
PhD Student in @uni_tue at @ml4science and Tübingen AI Center, member of @KImachtSchule
We are a joint partnership of University of Tübingen and Max Planck Institute for Intelligent Systems. We aim at developing robust learning systems and societally responsible AI. https://tuebingen.ai/imprint
https://tuebingen.ai/privacy-policy#c1104
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
Professor, University of Tübingen @unituebingen.bsky.social.
Head of Department of Computer Science 🎓.
Faculty, Tübingen AI Center 🇩🇪 @tuebingen-ai.bsky.social.
ELLIS Fellow, Founding Board Member 🇪🇺 @ellis.eu.
CV 📷, ML 🧠, Self-Driving 🚗, NLP 🖺
Building Gemini/Gemma at Deepmind and generative models for 8+ years with PyMC crew. Formerly built rockets at SpaceX
PhD Student in Machine Learning @unituebingen.bsky.social, @ml4science.bsky.social, @tuebingen-ai.bsky.social, IMPRS-IS; previously intern @vectorinstitute.ai; jzenn.github.io
Computational chemist/structural bioinformatician working on improving molecular simulation at MRC Laboratory of Molecular Biology. jgreener64.github.io
Public scholar of the Bible and religion
For speaking requests: live@thewatermarkagency.com
We improve early diagnosis of diseases of the nervous system and their prevention with the help of artificial intelligence. https://hertie.ai/
@University Tuebingen
Associate professor in Statistics at Uppsala University.
https://mansmeg.github.io/
Head of Computational Structural Biology Lab @pasteur.fr. ERC-CoG 2022. Research Director DR2 @cnrs.bsky.social. Founder/developer @plumed.org
PostDoc Tübingen @mackelab.bsky.social 🇩🇪
PhD Uppsala 🇸🇪
MSc Delft 🇳🇱
Machine learning for science
dgedon.github.io
Created http://adventofcode.com, http://compute-cost.com, http://anoik.is, http://was.tl/projects/; Principal Architect at https://acvauctions.com
Assistant Professor Uni Lucerne studying AI for medical data analysis (http://mlmia-unitue.de) 🤖👩⚕️
SF writer / computer programmer
Latest novel: MORPHOTROPHIC
Latest collection: SLEEP AND THE SOUL
Web site: http://gregegan.net
Also: @gregeganSF@mathstodon.xyz
Postdoc @hertie-ai.bsky.social | PhD @maxplanckcampus.bsky.social & unituebingen.bsky.social | Interested in Computational Neuroscience, Data Science & AI 🧠🤖 | Science Podcast https://linktr.ee/i_am_scientist 🎙️🧬
data science postdoc in Tübingen 🧬🖥️🧠 scRNA data analysis, UMAP/tSNE & retina neuroscience | science journalism on AI & sustainability 🤖❤️🌍 | easily sidetracked by small plot details & cool birds 📈🔍🦜
🇸🇪🇿🇦 Researcher at Karolinska. Comp bio. Phylogenetics. Deep learning. All in Julia. Virology. Immunology.
https://scholar.google.com/citations?user=I80vy5cAAAAJ
A podcast on #BayesianStats -- the methods, the projects, the people
By @alex-andorra.bsky.social
Listen: http://tinyurl.com/pvz4ekky
Support: http://tinyurl.com/2p8mpxnp
⚾ Senior Applied Scientist @ Miami Marlins
🎙️ Creator @learnbayesstats.com podcast
📊 Cofounder @pymc_labs
👨🏫 Teacher @IntuitiveBayes
Astronomy, Computation, Bayes, #JuliaLang
Microsoft Research AI for Science, previously physics @ Cambridge. views my own
Pragmatic Bayesian | Statistics Faculty @ NYU
Julia is a high-level, dynamic programming language built for technical computing.
Official Bluesky account of the Julia Language Project
#JuliaLang
Probabilistic ML researcher at Google Deepmind
Computational structural biologist @Fox Chase Cancer Center. Gay, out & proud since 1986. I support transgender & nonbinary people. Living with CLL/SLL. Video about my LGBTQ+ life in science: https://tinyurl.com/45srzjdw. Views my own, not my employer's.
#JuliaLang co-creator, https://JuliaHub.com co-founder
Research Scientist at Yahoo! / ML OSS developer
PhD in Computer Science at UC Irvine
Research: ML, NLP, Computer Vision, Information Retrieval
Technical Chair: ECCV'26 CVPR'26 WACV'26 ICCV'25
Open Source/Science matters!
https://yoshitomo-matsubara.net
Assistant professor (of mathematics) at the University of Toronto. Algebraic geometry, number theory, forever distracted and confused, etc. He/him.
Professor of #MathematicalPhysics at University of Tübingen
(@unituebingen.bsky.social)
Working on #quantum many-body physics and mathematical analysis
Website: https://www.math.uni-tuebingen.de/de/forschung/maphy/personen/mariuslemm/mariuslemm
Deep learner at FAIR. Into codegen, RL, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
Bayesian Optimization and Gaussian Processes
University of Minnesota
Web: https://aryandeshwal.github.io/
Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs.
https://willieneis.github.io
Assistant Professor of Computer Graphics and Geometry Processing at Columbia University www.silviasellan.com
Professing computing and applied math at Cornell. Numerical methods for data science, plasma physics, other stuff depending on the day. Director, Cornell Center for Applied Mathematics; Director, Simons Collaboration on Hidden Symmetries and Fusion Energy.
Machine learning, environmental modeling, sustainability, robotics
Professor @UCL
He/him
Trying to make all the AIs more efficient. Former Gaussian process connoisseur. Researcher at Microsoft Research.
PhD student UCL / UKAEA | Probabilistic ML | Safe control | Nuclear fusion
Building 3D embodiment for AI agents so that they can see, understand and interact just like real people.
🏂 Platform: meshcapade.me
🤖 API: meshcapade.com/docs/api
Associate Professor in Machine Learning, Aalto University. ELLIS Scholar.
http://arno.solin.fi
Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him).
Homepage: https://sites.google.com/view/sp-monte-carlo
Seminar: https://sites.google.com/view/monte-carlo-semina
ELLIS & IMPRS-IS PhD student at University of Tübingen
Working on Bayesian Deep Learning in Philipp Hennig's group
Website: https://joannasliwa.github.io
PhD student @ ELLIS, IMPRS-IS.
Working on physics-informed ML and probabilistic numerics at Philipp Hennig's group in Tübingen.
https://timwei.land
Associate Professor at UMD CS. YouTube: https://youtube.com/@jbhuang0604
Interested in how computers can learn and see.
Director, Max Planck Institute for Intelligent Systems; Chief Scientist Meshcapade; Speaker, Cyber Valley.
Building 3D humans.
https://ps.is.mpg.de/person/black
https://meshcapade.com/
https://scholar.google.com/citations?user=6NjbexEAAAAJ&hl=en&oi=ao
Quantitative hack, PyMC Labs
Probabilistic Programming and Bayesian Modeling in Python
Using deep learning to study neural dynamics
@mackelab.bsky.social
Postdoc at EPFL working on Bayesian optimization for inverse materials design. Interested in probabilistic numerics, Bayesian optimization, Gaussian processes, state-space models, differential equations, and Bayesian ML.
nathanaelbosch.github.io
Abolish the value function!
PhD student @mit_csail | Programming Systems for AI/ML | don’t ask how many cups of coffee I’ve drank
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
Bayesian statistics, Gaussian processes, and all things ML. Senior Applied Scientist at Amazon and developer of GPJax.
Postdoctoral Research Scientist in Statistics at Columbia University
I like computers.
assistant prof at northeastern https://www.khoury.northeastern.edu/home/sholtzen/
Statistics. Computing. Cancer Epidemiology. Public health.
Research Scientist@Google DeepMind
Assoc Prof@York University, Toronto
mbrubake.github.io
Research: Computer Vision and Machine Learning, esp generative models.
Applications: CryoEM (cryoSPARC), Statistics (Stan), Forensics, and more
Working on Probabilistic Programming Languages
https://web.cs.ucla.edu/~poorvagarg/
Machine learning, open source software, C++. https://indii.org
Strengthening Europe's Leadership in AI through Research Excellence | ellis.eu
Research Scientist at MIT studying interactions of randomness and computation
🎓 CS Prof at UCLA
🧠 Researching reasoning and learning in artificial intelligence: tactable deep generative models, probabilistic circuits, probabilistic programming, neurosymbolic AI
https://web.cs.ucla.edu/~guyvdb/
Exploring {Probabilistic Programming w/ Typed λ-Calculi; Lean; Program Synthesis; Self-Improving A.I.; Evolutionary Genetics} @ umontreal. Ph.D. USherbrooke
The Bayesian AI Consultancy • Using PyMC to solve your most challenging data science problems • http://pymc-labs.com
Official account for the ArviZ project. We provide #FOSS tools for exploratory analysis of #Bayesian models in #Python and #JuliaLang
www.arviz.org
Stats, ML and open-source
https://m.jling.dev/@jling
Professor of Numerical Methods @ Istanbul University | Associate Editor @ Journal of Open Source Software (JOSS)
