Sofiane Tanji

Assistant Professor at @EPFL in Computer Science and Life Sciences. PostDoc at @Genentech and @Stanford. PhD at @ETH and @BroadInstitute. www.aimm.epfl.ch

UW-Madison ISyE Professor | 2023 INFORMS President | #PunkRockOR blogger | #BadgerBracketology | Smarter decisions for a better world

Professor, Stochastic and Integer Optimizer, Dad

Taija is the organization that hosts software geared towards Trustworthy Artificial Intelligence in Julia: https://www.taija.org/

26th International Symposium on Mathematical Programming | July 25–30, 2027 | Amsterdam | https://ismp2027.mathopt.nl

Associate Professor of CS @ University of Maryland. Proud Rust advocate! I ♥ science & compiled, statically-typed programming languages! Views are my own. Tech stack: https://github.com/rob-p/tech-stack.

Machine learning research engineer

ML & Data Engineer based in Helsinki. Expect Machine learning, AI and Big Data related posts. Also curious about astro and general maker related topics.

Groundbreaking foundational research in Big Data Management, Machine Learning, and their intersection. #AI #Research www.bifold.berlin 📰News: www.bifold.berlin/news-events/news 🔑Data Privacy: www.bifold.berlin/data-privacy

datamancer, generative models, bayesian inference, dynamical systems, open-source software, phd with @glouppe.bsky.social

Postdoc @harvard.edu @kempnerinstitute.bsky.social Homepage: http://satpreetsingh.github.io Twitter: https://x.com/tweetsatpreet

Professor, University Of Copenhagen 🇩🇰 PI @belongielab.org 🕵️‍♂️ Director @aicentre.dk 🤖 President @ellis.eu 🇪🇺 Formerly: Cornell, Google, UCSD #ComputerVision #MachineLearning

Computer Vision & Machine Learning 📍 Pioneer Centre for AI, University of Copenhagen 🌐 https://www.belongielab.org

Working on Efficient Training, Low-Rank Methods, and Quantization. PhD at the University of Copenhagen 🇩🇰 Member of @belongielab.org, Danish Data Science Academy, and Pioneer Centre for AI 🤖 🔗 sebulo.github.io/

Sr. Principal Research Manager at Microsoft Research, NYC // Machine Learning, Responsible AI, Transparency, Intelligibility, Human-AI Interaction // WiML Co-founder // Former NeurIPS & current FAccT Program Co-chair // Brooklyn, NY // http://jennwv.com

asst prof of computer science at cu boulder nlp, cultural analytics, narratives, communities books, bikes, games, art https://maria-antoniak.github.io

web: http://maxim.ece.illinois.edu substack: https://realizable.substack.com

Swift is a general-purpose programming language that's fast, modern, safe, and a joy to write. Designed for all, developed in the open.

MD/PhD neuroscientist/psychiatrist, father of 3, Nak Muay, engineer at heart. mPFC-HPC interactions in addiction/schizophrenia, multi-region ephys and imaging in vivo, gene therapy, novel optical methods for spatial transcriptomics https://sjulsonlab.org

Professor, ecology, FU Berlin, own views, book author Global change, soil, fungi, environment, microplastic, biodiversity 🧪 https://www.youtube.com/@mrillig https://www.youtube.com/@lifeinthesoil rilliglab.org https://matthiasrillig.substack.com

Transforming social networks into sensemaking networks https://cosmik.network/ | Building @semble.so a social knowledge network for research | Co-organizing @atproto.science

Anti-cynic. Towards a weirder future. Reinforcement Learning, Autonomous Vehicles, transportation systems, the works. Asst. Prof at NYU https://emerge-lab.github.io https://www.admonymous.co/eugenevinitsky

messing up with gaussians

Statistician, Associate Professor (Lektor) at University of Gothenburg and Chalmers; inference and conditional distributions for anything https://mschauer.github.io http://orcid.org/0000-0003-3310-7915 [ˈmoː/r/ɪts ˈʃaʊ̯ɐ]

Interpretable ML | Computational and Systems Biology | Postdoc at Cancer Early Detection Advanced Research (CEDAR) Center @ohsuknight.bsky.social

Math Assoc. Prof. (on leave, Aix-Marseille, France) Interest: Prob / Stat / ANT. See: https://sites.google.com/view/sebastien-darses/research?authuser=0 Teaching Project (non-profit): https://highcolle.com/

Foundational tools for omics data (mostly in python).

Building Astral: Ruff, uv, and other high-performance Python tools, written in Rust.

Medical Statistician at KU Leuven. My brain is like a snail but it gets there in the end (or not).

Assis. Prof. @ucsbece Affiliate @SLAClab Stanford Prev @Stanford @Inria @imperialcollege @Polytechnique PI @geometric_intel http://gi.ece.ucsb.edu, Pilot

Le Comité pour la science ouverte assure la gouvernance et la la mise en œuvre coordonnée du Plan national pour la science ouverte en France

Professor of English and Fellow at the Center for Digital Research in the Humanities at the University of Nebraska-Lincoln. Mainly #DigitalHumanities. Blog at https://stephenramsay.net/

PhD student @NTUsg

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.

LLM for the commons.

Student Researcher @ RAI Institute, MSc CS Student @ ETH Zurich visual computing, 3D vision, spatial AI, machine learning, robot perception. 📍Zurich, Switzerland

Robotics and Reinforcement Learning tinkerer. brandonrohrer.com Wrangler of algorithms for Confluence @ Atlassian. Eater of bread. Sipper of whisky. Reports to a Shih Tzu.

The new foundation for documents: Limitless power to write, create, and automate anything that you can fit on a page.

Math optimization for environment and climate sofdem.github.io

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

Machine Learning tools for neuroscience @mackelab.bsky.social.

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

Ph.D. student in Machine Learning and Domain Adaptation for Neuroscience at Inria Saclay/ Mind. Website: https://tgnassou.github.io/ Skada: https://scikit-adaptation.github.io/

Associate professor in machine learning at the University of Amsterdam. Topics: (online) learning theory and the mathematics of explainable AI. www.timvanerven.nl Theory of Interpretable AI seminar: https://tverven.github.io/tiai-seminar

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/

⛷️ ML Theorist carving equations and mountain trails | 🚴‍♂️ Biker, Climber, Adventurer | 🧠 Reinforcement Learning: Always seeking higher peaks, steeper walls and better policies. https://ualberta.ca/~szepesva

asst prof @cornellbowers.bsky.social thinking about dynamics, control, machine learning sdean.website

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

Assistant professor in Data Science and AI at Chalmers University of Technology | SciLifeLab Group Leader | PI for AI lab for Molecular Engineering (AIME) | ailab.bio | rociomer.github.io

Professor, Optimizer, Human-Pyramid Maker

HPC, solvers, optimisation, PDE, mathematical modelling

Phd Candidate, BIASlab, TU/e Freenergian

Metascience, statistics, psychology, philosophy of science. Eindhoven University of Technology, The Netherlands. Omnia probate. 🇪🇺

Assistant professor at Université Paris Cité - LPSM. Working on optimization and machine learning.

Join the largest annual conference organized around the Julia programming language Mainz, Germany. August 10th–15th, 2026. https://juliacon.org/2025/

PhD student at @bifold.berlin, Machine Learning Group, TU Berlin. Automatic Differentiation, Explainable AI and #JuliaLang. Open source person: adrianhill.de

Head of the Computer Vision lab; TU Delft. - Fundamental empirical Deep Learning research - Visual inductive priors for data efficiency Web: https://jvgemert.github.io/

phd candidate in discrete optimization at mines st-étienne/univ. clermont auvergne. occasionally at zuse insitute berlin https://marouane-f.github.io

Le plus grand centre de recherche universitaire en apprentissage profond — The world's largest academic research center in deep learning.

A basin to pour some mathematical thoughts. #SigProc #CompImag Wandering cosmos with a camera obscura. Phil is the fuel for life.

sampling reality

Distinguished Professor of ECE and Feedzai Professor of machine learning @istecnico.bsky.social. Professor, photographer, music lover, curious about almost everything.

Dad of 3 & born-again mathematician. Statistician, economist, fellow actuary & data addict. Professor & researcher in Kyoto 京都 🇯🇵. Previously in Montréal 🇨🇦, Paris 🇫🇷, Hong Kong 🇭🇰, Leuven 🇧🇪 & Rennes 🇫🇷. Full of 'satiable curtiosity

CNRS researcher at Institut de mathématiques de Bordeaux. yanntraonmilin.perso.math.cnrs.fr

AI @ OpenAI, Tesla, Stanford

Institut national du @cnrs.fr dédié aux #mathématiques et à leurs interactions avec les autres sciences, les entreprises et la société 🧮 #HelloESR

Donald L. Snyder Associate Prof of ESE/CSE at WashU. Previously: ENS Paris, Google, MERL, Stanford, MIT, CMU, EPFL. Tennis player. I don’t eat animals. Ўзбекча гапираман.

Professor at UT Nuremberg, Germany I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.

I study algorithms/learning/data applied to democracy/markets/society. Asst. professor at Cornell Tech. https://gargnikhil.com/. Helping building personalized Bluesky research feed: https://bsky.app/profile/paper-feed.bsky.social/feed/preprintdigest

Diffusion d'information pour l'association GRETSI : Groupe de Recherche et d’Études de Traitement du Signal et des Images (et disciples connexes)

Optimisation, Riemannian manifolds, and numerics in Julia (Manifolds.jl, LieGroups.jl, Manopt.jl). Working at the Department of Mathematical Sciences, NTNU, Trondheim, Norway. Posts mostly in English, manchmal Deutsch eller Norsk.

Software engineer at probabl, scikit-learn contributor. Also at: https://sigmoid.social/@ogrisel https://github.com/ogrisel

Professor of Computer Vision/Machine Learning at Imagine/LIGM, École nationale des Ponts et Chaussées @ecoledesponts.bsky.social Music & overall happiness 🌳🪻 Born well below 350ppm 😬 mostly silly personal views 📍Paris 🔗 https://davidpicard.github.io/

Climate scientist investigating weather and climate extremes, professor at ETH Zurich (@ethzurich.bsky.social), fascinated by weather and climate, IPCC AR6 lead author

Professor of Computer Science, Oxford University. Research interest in Algorithmic Game Theory, also Computational Complexity. Also interested in good urbanism & cartoons https://www.cs.ox.ac.uk/people/paul.goldberg/index1.html

Trustworthy AI, Counterfactual Explanations, Open-Source Software and other PhD things at TU Delft. @julialang.org developer @taija.org Website: www.patalt.org

ARC Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications aims to help businesses improve their efficiency, quality & agility.

Principal Scientist at Naver Labs Europe, Lead of Spatial AI team. AI for Robotics, Computer Vision, Machine Learning. Austrian in France. https://chriswolfvision.github.io/www/

go bears!!! jessicad.ai kernelmag.io

Professor of Statistics at University of Warwick; computational methods, Monte Carlo, gradient flows and fun things like those.

Learning to optimize | graph neural networks | AI 4 science PhD student at Uppsala University, incoming research intern at Microsoft

AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity. https://glouppe.github.io

Prof. at Univ. Rennes 2 ML for time series + a bit of Optimal Transport Maintainer of tslearn rtavenar.github.io

Assistant professor at University of Iowa, formerly at Bucknell University, mathematical optimizer with an #orms PhD from Carnegie Mellon University, curious about scaling up constraint learning, proud father of two

Assistant Professor @Harvard. Previously Hooke Research Fellow @Oxford and PhD @Princeton. Studying Geometry and Machine Learning.

Computer scientist on a life-science mission. Working on pushing bioimage analysis, computer vision, AI/ML methods for the life sciences. Love running and pottery.

We have moved to @972mag.com, follow us there to get updated on our latest publications!

Assistant Professor at the university of Warwick. I compute integrals for a living. https://adriencorenflos.github.io/

Distinguished Scientist at Google. Computational Imaging, Machine Learning, and Vision. Posts are personal opinions. May change or disappear over time. http://milanfar.org

full-time ML theory nerd, part-time AI-non enthusiast

A programming language empowering everyone to build reliable and efficient software. Website: https://rust-lang.org/ Blog: https://blog.rust-lang.org/ Mastodon: https://social.rust-lang.org/@rust

CS PhD @ Johns Hopkins. Interested in everything mathematical. Researcher in machine learning theory, adversarial robustness.

Assistant Professor at Imperial College Business School Optimization+Machine Learning+Renewable Energy Runner | Kiwi 🇳🇿 | ryancorywright.github.io

Mathematical optimization researcher @ Mines Paris