Benjie Wang
Postdoc @ UCLA StarAI Lab, PhD in CS from Oxford. Probabilistic ML, Tractable Models, Causality
@stephanmandt.bsky.social
AI Professor @UCIrvine | Formerly @blei_lab, @Princeton | #GenAI, #Compression, #AI4Science | General Chair @aistats_conf 2025 | AI Resident @ChanZuckerberg
@omarrivasplata.bsky.social
Carpe espresso ☕ Associate Professor in Machine Learning Manchester Centre for AI FUNdamentals Department of Computer Science The University of Manchester Alumn UCL, DeepMind, U Alberta, PUCP Deep Thinker. Posts / reposts might be non-deep.
@brunabazaluk.bsky.social
Computer Scientist Master student applying for a Phd position causality, NLP, probabilistic AI https://www.ime.usp.br/~bazaluk/
@anujdawar.bsky.social
Professor of Logic and Algorithms @cst.cam.ac.uk. Fellow @robinsoncollege.bsky.social. Theoretical computer scientist. News junkie. Parent of teenagers.
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@simonsinstitute.bsky.social
The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
@spmontecarlo.bsky.social
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
@meihuadang.bsky.social
@pausalz.bsky.social
Paul Zivich, Assistant (to the Regional) Professor Computational epidemiologist, causal inference researcher, amateur mycologist, and open-source enthusiast. https://github.com/pzivich #epidemiology #statistics #python #episky #causalsky
@matthewwicker.bsky.social
Assistant professor (lecture), Imperial College London. I study trustworthiness of machine learning models. Previously: ATI, U. Of Oxford, UGA
@liza-semenova.bsky.social
Assistant Prof @ImperialCollege. Applied Bayesian inference, spatial stats and deep generative models for epidemiology. Passionate about probabilistic programming—check out my evolving #Numpyro course: https://elizavetasemenova.github.io/prob-epi 🚀
@thiviyan.bsky.social
Research Scientist at Sony AI, working on AI for Scientific Discovery. Neurosymbolic Learning and Reasoning. thiviyansingam.com
@rohithpeddi.bsky.social
CS PhD @UTD | IIT Kharagpur Research Focus: Long-Trail Learning, Robust Learning, Scene Understanding, Robot Manipulation, NeuroSymbolic AI https://rohithpeddi.github.io/
@arnosolin.bsky.social
Assistant Professor in Machine Learning, Aalto University. ELLIS Scholar. http://arno.solin.fi
@lowd.bsky.social
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
@fredsala.bsky.social
Wisconsin CS. Snorkel AI. Working on machine learning & information theory. https://pages.cs.wisc.edu/~fredsala/
@nesyconf.org
19th International conference on Neurosymbolic Learning and Reasoning UC Santa Cruz, Santa Cruz, California 8 to 10 September 2025 https://2025.nesyconf.org
@amanolache.bsky.social
ELLIS PhD Student @ IMPRS-IS/Uni Stuttgart; ML Research @ Bitdefender | https://andreimano.github.io/
@benjamincwalker.bsky.social
🎓 Machine Learning PhD 🌍 Mathematical Institute, Oxford 📈 Researching Neural Differential Equations & Rough Path Theory 📧 Email: MLBenjaminWalker@gmail.com 🌐 GitHub: Benjamin-Walker
@akumar03.bsky.social
<Causality | Ph.D. Candidate @mit | Physics> I narrate (probably approximately correct) causal stories. Past: Research Fellow @MSFTResearch Website: abhinavkumar.info
@urish.bsky.social
Machine learning researcher, working on causal inference and healthcare applications
@jhartford.bsky.social
DKO fellow (Assistant Prof equiv.) at University of Manchester. Causality Research Unit Lead at Valence Labs / Recursion Pharma. Prev: postdoc at Mila with Prof Yoshua Bengio, PhD at UBC. South African 🇿🇦
@moberst.bsky.social
Assistant Prof. of CS at Johns Hopkins Visiting Scientist at Abridge AI Causality & Machine Learning in Healthcare Prev: PhD at MIT, Postdoc at CMU
@amalaa.bsky.social
Assistant Professor at UC Berkeley and UCSF. Machine Learning and AI for Healthcare. https://alaalab.berkeley.edu/
@emrekiciman.bsky.social
causal ml; ai+society; social media, comp social science. having fun.. my opinions. he/him. http://hci.social/@emrek
@chandlersquires.bsky.social
CMU postdoc, previously MIT PhD. Causality, pragmatism, representation learning, and AI for biology / science more broadly. Proud rat dad.
@burakvarici.bsky.social
Postdoc at CMU, previously PhD at RPI. Causality, representation learning, misc.
@mniepert.bsky.social
Professor @ University of Stuttgart, Scientific Advisor @ NEC Labs, GraphML, geometric deep learning, ML for Science and Simulations. Formerly @IUBloomington and @uwcse
@jessejdavis.bsky.social
Professor @ KU Leuven researching AI, machine learning, and sports. Co founder of runeasi
@sholtzen.bsky.social
I like computers. assistant prof at northeastern https://www.khoury.northeastern.edu/home/sholtzen/
@kerstingaiml.bsky.social
AI Prof at TU Darmstadt, Founding Co-Director Hessian.AI, DFKI, AAAI/EurAI/AAIA/ELLIS Fellow, AAAI24 Ass. PC CoChair, Fmr. PC CoChair UAI, ECML PKDD, Invest. @Aleph__Alpha, Fmr. AI Column German Newspaper Welt (am Sonntag)
@paolomorettin.bsky.social
Probabilistic + logical + algebraic reasoning/learning Assistant prof. @ University of Trento, Marie Skłodowska-Curie fellow https://paolomorettin.github.io/
@looselycorrect.bsky.social
Senior assistant prof at University of Trento. I dig Explainable AI, Neuro-Symbolic AI, Interactive ML, Constraints & Circuits. https://stefanoteso.github.io/ . I "maintain" https://github.com/stefanoteso/awesome-explanatory-supervision .
@nsriraam.bsky.social
Professor of CS working in Statistical Relational AI, neurosymbolic AI, graphical models, sequential decision making and healthcare.
@lucderaedt.bsky.social
Professor of AI, DTAI, KU Leuven; Wallenberg Guestprofessor AASS, Örebro University; Director http://Leuven.AI, AAAI and EurAI Fellow, Former PC Chair IJCAI, ICML, ECAI and ECMLPKDD, ERC AdG 2015 and 2023
@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 ;)
@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