Taksch Dube

Neuroscientist, psychologist, and author of "Seven and a Half Lessons About the Brain" (an Amazon "Best Book") and "How Emotions are Made." LisaFeldmanBarrett.com

Anthropologist - Bayesian modeling - science reform - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/

Academy Professor in computational Bayesian modeling at Aalto University, Finland. Bayesian Data Analysis 3rd ed, Regression and Other Stories, and Active Statistics co-author. #mcmc_stan and #arviz developer. Web page https://users.aalto.fi/~ave/

Zealous modeler. Annoying statistician. Reluctant geometer. Support my writing at http://patreon.com/betanalpha. He/him.

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.

Professor of Statistics and Machine Learning at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.

AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com

Jakob

#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

Machine Learning Researcher https://alexalemi.com https://blog.alexalemi.com

Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/

Senior Research Scientist at Google DeepMind. AGI Alignment researcher. Views my dog's.

Research scientist, Inria. Statistical machine learning.

Assistant professor in Machine Learning and Theoretical Neuroscience. Generative modeling and memory. Opinionated, often wrong.

PhD in Deep Learning at Cambridge. Previously Microsoft Research AI resident & researcher at Qualcomm. I want to find the key to generalisation.

Postdoc in Bayesian machine learning at the Technical University of Denmark. I used to think a lot about the universe.

PhD student in the Machine Learning Group, Cambridge.

Researcher in Bayesian machine learning

Data Scientist (Forecasting) @NVIDIA. Interested in Bayesian stats, causal inference, and decisions. Also dad, OEF vet, and ski/mountain enjoyer. I blog (throw bricks into the wind) @ www.nelsontang.com

Assistant Professor in Mathematical Statistics and Statistical Learning at the University of Twente. https://riannedeheide.github.io Contralto, professional horn player, percussionist, wannabe long-distance runner, mother.

Statistician at Sydney University.

PhD student at TU Berlin, working on generative models and inverse problems he/him

Working on #SelfDrivingLabs at the Acceleration Consortium @ UofT. Former employee at dsm-firmenich working on self-driving labs for food applications. Interested in systems biology, microbial communities, ML/AI, software development, product management.

Official account for the ArviZ project. We provide #FOSS tools for exploratory analysis of #Bayesian models in #Python and #JuliaLang www.arviz.org

Machine Learning PhD Student at CMU | Student Researcher at Google | dsam99.github.io

Associate Professor of Machine Learning and Signal Processing, Technical University of Denmark (DTU) https://frellsen.org

Associate Prof. in ML & Statistics at NUS 🇸🇬 MonteCarlo methods, probabilistic models, Inverse Problems, Optimization https://alexxthiery.github.io/

Data Scientist. Voice of Reason. Dad of synesthetic composer Jacqueline Cordes jacquelinecordes.com Chess, Poker, and Physics

phd student working on bayesian methods in bioimage analysis; @fz-juelich.de, @hds_lee & @lmu.de; bsc+msc in comp sci @univie.ac.at; based in karlsruhe; ripaul.github.io

Navigating life with smiles, skills, and an eye on better. UD prof, inventor, app developer, entrepreneur. https://causact.com https://persuasivepython.com https://emergencyhealthfix.com

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

Machine Learning tools for neuroscience @mackelab.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

Founder, President & Chief Scientist @PrunaAI | Prev. @Twitter research, Ph.D. in ML @TU_Muenchen

Doctoral researcher at Helmholtz AI supervised by Vincent Fortuin. University of Cambridge engineering graduate. Probabilistic machine learning. sheev13.github.io

Machine Learning Professor https://cims.nyu.edu/~andrewgw

Research Fellow @HKU 🇭🇰 | Machine Learning | Generative Models | Bayesian Inference 🌐 https://zhidi-lin.github.io/

Laplace Junior Chair, Machine Learning ENS Paris. (prev ETH Zurich, Edinburgh, Oxford..) Working on mathematical foundations/probabilistic interpretability of ML (what NNs learn🤷‍♂️, disentanglement🤔, king-man+woman=queen?👌…)

Sr Research Scientist at Google DeepMind, Toronto. Member, Mila. Adjunct, McGill CS. PhD Machine Learning & MASt Applied Math (Cambridge), BSc Math (Warwick). gkdz.org

Research Fellow at Aalto University. Open source contributor #ArviZ, #Bambi, #Kulprit, #PreliZ, #PyMC, #PyMC-BART. Support me at https://ko-fi.com/aloctavodia https://bayes.club/@aloctavodia

Probabilistic Programming and Bayesian Modeling in Python

The Bayesian AI Consultancy • Using PyMC to solve your most challenging data science problems • http://pymc-labs.com

“Machines take me by surprise with great frequency” A. M. T.

Associate Prof @ LMU Munich PI @ Munich Center for Machine Learning Ellis Member Associate Fellow @ relAI ----- https://davidruegamer.github.io/ | https://www.muniq.ai/ ----- BNNs, UQ in DL, DL Theory (Overparam, Implicit Bias, Optim), Sparsity

Postdoctoral fellow @ University of Oslo (back home in 🏔️🇳🇴🏔️), Bayesian stats (high-dimensional, nonparametric, ML), biostatistics, computation. Previously @ MRC Biostatistics Unit, University of Cambridge 🇬🇧

Mathematician at Imperial College London. Bayesian statistics, Data science, Languages, Phylogenies.

Information theory, probability, statistics. Churchill Professor of Mathematics of Information @UofCambridge: dpmms.cam.ac.uk/person/ik355/ 🧮 #MathSky 🧪 #Science [used to be @yiannis_entropy at the other place]

Lecturer (Assistant Prof) in Statistical Science at UCL. Previously Postdoc @ Lancaster Uni, PhD @ Imperial College London, MA @ Cambridge Uni. Interested in computational stats, probabilistic ML, optimisation. Website: https://louissharrock.github.io/

sampling reality

PhD Student in Machine Learning at CMU. yewonbyun.github.io

PhD-ing at CUHK-Shenzhen. Building evolutionary coding agents at Dria. #AI4Science community leader at alphaXiv richardcsuwandi.github.io

(Tab)PFNs, TrivialAugment etc.

Using Machine Learning for Matter Research @helmholtzai.bsky.social

"The idea of an environment scarcely makes any sense since you can never draw a boundary line that would distinguish an organism from what surrounds it." - Bruno Latour

Doing Bayesian stuff in #rustlang and #julialang. Seattle

That PyMC guy

Computational Statistics and Machine Learning (CSML) Lab | PI: Massimiliano Pontil | Webpage: csml.iit.it | Active research lines: Learning theory, ML for dynamical systems, ML for science, and optimization.

ELLIS PhD Student @ JKU supervised by Sepp Hochreiter Working on Predictive Uncertainty in ML

PhD student, University of Helsinki Working on Bayesian computation https://pipme.github.io/

Stats Postdoc at Columbia, @bleilab.bsky.social Statistical ML, Generalization, Uncertainty, Empirical Bayes https://yulisl.github.io/

machine learning, causal inference, science of llm, ai safety, phd student @bleilab, keen bean https://www.claudiashi.com/

PhD student at Aalto University 🇫🇮 Probabilistic ML, amortized inference. See more at huangdaolang.com

AI Professor @UCIrvine | Formerly @blei_lab, @Princeton | #GenAI, #Compression, #AI4Science | General Chair @aistats_conf 2025 | AI Resident @ChanZuckerberg

ML researcher, teacher, professor, Dad, Irish, ...

Research Scientist @Bioptimus. Previously at ETH Zürich, Max Planck Institute for Intelligent Systems, Google Research, EPFL, and RIKEN AIP. aleximmer.github.io

PhD candidate @ University of Edinburgh Bayesian Stats | Machine Learning | Uncertainty Quantification | ML4Science | Scientific Imaging https://teresa-klatzer.github.io/

Full Professor at @deptmathgothenburg.bsky.social | simulation-based inference | Bayes | stochastic dynamical systems | https://umbertopicchini.github.io/

So far I have not found the science, but the numbers keep on circling me. Views my own, unfortunately.

Safe and robust AI/ML, computational sustainability. Former President AAAI and IMLS. Distinguished Professor Emeritus, Oregon State University. https://web.engr.oregonstate.edu/~tgd/

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, 🐎 🎶

Director Data Science Institute @UWMadison, Professor of Physics, EiC @MLSTjournal. Physics, stats/ML/AI, open science.

Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.

Assistant Professor at Duke in Biomedical Engineering (@dukeubme.bsky.social) and Biostatistics & Bioinformatics. Research focus on digital biomarker development. All views are my own.

Biomedical Informatics PhD • CITRIS Health @UC Berkeley • FAMIA • Focusing on Informatics and AI in medicine • Linfield U. Grad • Missoula MT https://smcgrath.phd

aneeshsathe.com 🧪🧬💻🤖🔬🦠🩺💊🐍

physician-scientist, interested in AI safety/interpretability in biology/medicine. jjanizek.github.io

Assistant Professor at Stanford. Trustworthy, deployable ML/NLP for healthcare.

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.

Assistant Professor in Computer Science, McGill University / Mila Quebec AI Institute. Co-Founder and Chair, Climate Change AI. MIT Tech Review "Innovator Under 35". he/him/his

Computational chemist at the University of Copenhagen #compchem

Ad Astra Fellow, Asst. Prof. of Digital Chemistry, @ucddublin.bsky.social‬ | Editor, @joss-openjournals.bsky.social | Personal: ewcss.info | Research group (@coreacter.org): CoReACTER.org | ORCID: orcid.org/0000-0003-1554-197X | All opinions mine

Chemistry professor at CMU. Connecting chemical sciences with AI #MachineLearning and automated experimentation. #tarheels fan. Care: #design, #photography #Ukraine #cats🐈 Rants are mine

applying math, computation, and machine learning to problems in chemical engineering | associate professor, Oregon State University | views mine https://simonensemble.github.io/

BioDesign, Machine Learning, Drug Discovery | Rosenkranz Award 2021 | Dad | Polyglot | Capybarist | plissonf.github.io Founding ingeniebio.com ORCID 0000-0003-224

Protein and coffee lover, father of two, professor of biophysics and sudo scientist at the Linderstrøm-Lang Centre for Protein Science, University of Copenhagen 🇩🇰

autonomous science & digital molecular designer | assistant professor @cmu with @gpggrp.bsky.social | https://gpggrp.com | https://aithera.ai | h(e/im), views my own

Physics PhD turned AI4Science postdoc at UWisconsin-Madison Data Science Institute. Gardening, banjo, roller derby, union organizing. Empty hands and the desire to unbuild walls. Opinions, bad jokes, etc. all mine. He/they, I guess?

Theoretical physicist, Rutgers professor.

ML research at the National Laboratory of the Rockies. Currently thinking about multimodal language models and assistants for scientific discovery. Optimistic about AI4Science & Engineering. #PDX #DTWD #🏃‍♂️🎽👟

interpretable machine learning for atmospheric and astronomical data analysis, near-IR spectra, climate tech, stars & planets; bikes, Austin, diving off bridges into the ocean.

Mathematician, writer, Cornell professor. All cards on the table, face up, all the time. www.stevenstrogatz.com

physical oceanography 🌊, geophysical fluid dynamics 🌏, machine learning 🤖, coding climate models 🌐, #JuliaLang 💻, surfing 🏄🏽‍♂️, horses 🐎, dancing 💃🏼, bicycles 🚴🏽‍♂️ 🍉 📍Naarm-Melbourne 🏡 www.navidconstantinou.com

Principal Researcher in BioML at Microsoft Research. He/him/他. 🇹🇼 yangkky.github.io

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

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 📈🔍🦜

MLing biomolecules en route to structural systems biology. Asst Prof of Systems Biology @Columbia. Prev. @Harvard SysBio; @Stanford Genetics, Stats.