Daniel Lowd
CS Prof at the University of Oregon, studying adversarial machine learning, data poisoning, interpretable AI, probabilistic and relational models, and more. Avid unicyclist and occasional singer-songwriter. He/him
@uauoregon.bsky.social
UA is the exclusive union representative of faculty at the University of Oregon. As faculty representatives, stewards, and leaders, we work every day to improve our university and the state of higher education in Oregon.
@alasaarela.com
Husband and father. Impact entrepreneur, speaker and author on algorithms that influence us. 15+ years in AI entrepreneurship.
@ml4x.bsky.social
Curious. Researching #MachineLearning for Scientific Discovery. #ml4science #ai4science I choose #OpenSource and #OpenScience . Solving problems in #LifeScience #Genomics #RadioAstronomy Read Mathematics for Machine Learning at https://mml-book.com
@hildekuehne.bsky.social
Professor for CS at the Tuebingen AI Center and affiliated Professor at MIT-IBM Watson AI lab - Multimodal learning and video understanding - GC for ICCV 2025 - https://hildekuehne.github.io/
@chrisoffner3d.bsky.social
Student Researcher @ Google MSc CS @ ETH Zurich (@ethzurich.bsky.social) Visual computing, 3D computer vision, Spatial AI, ML, and robotics perception. 📍Zurich, Switzerland
@nparikh.org
Teaching AI policy at Columbia (https://nparikh.org/sipa6545). Previously Director of AI for NYC. https://nparikh.org
@machsci.bsky.social
🌲🌲 Applied ML/AI, data science, MLOps | Wife of 1, mom of 2 | Co-Founder and CTO of http://storytellers.ai python 🐍 AI 🤖 cloud ☁️ data 📊 I also talk about Jesus here: @itskirstenlum.bsky.social
@atabb.bsky.social
Research scientist, computer vision and robotics for agriculture. she/her. Largely not checking this account or posting about work at the moment. https://amytabb.com/ Close-ish to Washington, D.C., USA.
@wattenberg.bsky.social
Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.
@vickiboykis.com
ML Engineering. LLMs 😬. Information retrieval. Infra. Systems. Normcore code. Nutella. Vectors. Words. Vibes. Bad puns (soon). https://vickiboykis.com/what_are_embeddings/
@nicolabranchini.bsky.social
🇮🇹 Stats PhD @ University of Edinburgh 🏴 @ellis.eu PhD - visiting @avehtari.bsky.social 🇫🇮 🤔💭 about uncertainty quantification. Interested in sampling/transport methodologies, applications in climate/science. https://www.branchini.fun/about
@javaloyml.bsky.social
Postdoc at the University of Edinburgh working on Machine Learning. Previously in Saarbrücken, Tübingen, and Murcia. 🌐 adrianjav.github.io
@lenazellinger.bsky.social
ELLIS PhD student at the University of Edinburgh https://lenazellinger.github.io/
@loreloc.bsky.social
#probabilistic-ml #circuits #tensor-networks PhD student @ University of Edinburgh https://loreloc.github.io/
@poorvagarg.bsky.social
Working on Probabilistic Programming Languages https://web.cs.ucla.edu/~poorvagarg/
@kareemyousrii.bsky.social
Postdoc @ University of California, Irvine | PhD from CS@UCLA Neuro-Symbolic AI, Tractable Probabilistic Reasoning, Generative Models kareemahmed.com
@sholtzen.bsky.social
I like computers. assistant prof at northeastern https://www.khoury.northeastern.edu/home/sholtzen/
@leanderk.bsky.social
ML PhD student @ Uni Edinburgh Interesting in (tractable) probabilistic machine learning, computing niche integrals and whatever you want to tell me about your research!
@paolomorettin.bsky.social
Probabilistic + logical + algebraic reasoning/learning Assistant prof. @ University of Trento, Marie Skłodowska-Curie fellow https://paolomorettin.github.io/
@ropeharz.bsky.social
Assistant prof at TU Graz, formerly assistant prof at TU Eindhoven, Marie-Curie Fellow at University of Cambridge. Probabilistic Machine Learning.
@jjcmoon.bsky.social
PhD student @ KU Leuven | maene.dev | #neurosymbolic learning & #probabilistic reasoning
@fventola.bsky.social
PhD candidate at AI & ML lab @ TU Darmstadt (he/him). Research on deep, flexible, and efficient probabilistic models.
@devendradhami.bsky.social
Pahadi 🇮🇳| Assistant Professor at TU Eindhoven | Causality, Neuro-symbolic AI, Probabilistic Circuits and pretty much all of Machine Learning ;)
@anjiliu.bsky.social
Incoming Assistant Professor (Presidential Young Professor, PYP) at the National University of Singapore (NUS). https://liuanji.github.io/
@robinmanhaeve.bsky.social
A post-doc researcher at DTAI, KU Leuven. I focus on neurosymbolic AI.
@statwonk.bsky.social
Dad, Partner. Statistician-Econometrician-Engineer. AI Developer. Decision theory. Game theory. #autisticpride #9 at Zapier, first DS
@shivvarya.bsky.social
PhD Candidate at UTD | Specializing in Probabilistic & Neurosymbolic AI, Explainable AI, and Computer Vision | Website https://shivvrat.github.io
@carl-allen.bsky.social
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?👌…)
@imurray.bsky.social
Professor of Machine Learning and Inference, Edinburgh Informatics, Formally Amazon Scholar. Opinions are my own. Also https://homepages.inf.ed.ac.uk/imurray2/ and https://mastodon.social/@imurray and https://x.com/driainmurray
@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 📩
@benjiewang.bsky.social
Postdoc @ UCLA StarAI Lab, PhD in CS from Oxford. Probabilistic ML, Tractable Models, Causality
@glouppe.bsky.social
AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity.
@louissharrock.bsky.social
Postdoc in Statistical Machine Learning @ Lancaster Uni. Previously PhD @ Imperial College London, MA @ Cambridge Uni. Interested in computational statistics, probabilistic machine learning, optimisation. Website: https://louissharrock.github.io/
@dtai-kuleuven.bsky.social
Declarative Languages and Artificial Intelligence research group at the KU Leuven Computer Science department. https://dtai.cs.kuleuven.be
@federico-errica.bsky.social
Senior Research Scientist at NEC. PhD in CS @ UniPi, Bayesian Deep Learning for Graphs. Trying to do Science 🔍, not SotA 🥇.
@zzhe.bsky.social
Incoming Assist. Prof. @UVA | Faculty fellow @NYU | CS Ph.D @UCLA | Neurosymbolic AI, Probabilistic ML, Constraints, AI4Science | https://zzeng.me/
@moritzwillig.bsky.social
PhD student at AIML Lab, TU Darmstadt, Germany. Connecting AI & Causality. | Website: https://moritz-willig.de/
@philosotim.bsky.social
researching causality and interactive AI at AIML Lab, TU Darmstadt | also interested in philosophy, logic, physics and vegan baking