@fishics.bsky.social
Postdoc at IST Austria studying zebrafish development 🦓🐟, wondering how a "ball-shaped egg" ⚽🥚 becomes a "fish-shaped fish" 🐠? Dev Bio, Biophysics, Soft Matter, Image Analysis🔬 🦠🧫 PhD in ChemE (Uni. Minnesota)
@gauravmitra23.bsky.social
Postdoctoral Research Associate at WashU, St. Louis | Ph.D. from New York University | Soft, Living Matter | Biomolecular Phase Separation | Computational Modeling of Materials
@cassidoo.co
Making memes, dreams, & software! Sr. Director of Dev Advocacy at GitHub. Married to a dweeb and mom to a nerdy toddler. She/Her ✝️ CHI 🏠 Subscribe to my newsletter! cassidoo.co/newsletter
@vscode.dev
Visual Studio Code with GitHub Copilot supercharges your code with AI-powered suggestions, right in your editor
@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 📩
@vaishakbelle.bsky.social
AI and Science. Faculty at U of Edinburgh. Write and think on: http://www.vaishakbelle.org
@benjiewang.bsky.social
Postdoc @ UCLA StarAI Lab, PhD in CS from Oxford. Probabilistic ML, Tractable Models, Causality
@sdumancic.bsky.social
Assistant Professor at TU Delft, working on program synthesis, probabilistic programming, and neuro-symbolic AI. https://sebdumancic.github.io/
@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/
@wannesm.bsky.social
@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
@deepdishenjoyer.bsky.social
i have approximate knowledge of many things chaotic neutral Chicago, IL
@gabrielpeyre.bsky.social
@divyach.bsky.social
Postdoc at Harvard: J. Paulsson & E. Garner |PhD at Oxford: S. Uphoff & K. Foster| Chemical engg at IITDelhi| bacterial stress responses,AMR,dynamical systems,ML
@satyamanand.bsky.social
Ph.D. at Courant Institute, NYU | Ph.D. Chem Engg at UMN (Transferred) | Undergrad at IIT Delhi | Active Matter, Stochastic Systems
@nolovedeeplearning.bsky.social
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
@mniepert.bsky.social
Professor @ University of Stuttgart, Scientific Advisor @ NEC Labs, GraphML, geometric deep learning, ML for Science and Simulations. Formerly @IUBloomington and @uwcse
@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/
@jessejdavis.bsky.social
Professor @ KU Leuven researching AI, machine learning, and sports. Co founder of runeasi
@loreloc.bsky.social
#probabilistic-ml #circuits #tensor-networks PhD student @ University of Edinburgh https://loreloc.github.io/
@kareemyousrii.bsky.social
Postdoc @ University of California, Irvine | PhD from CS@UCLA Neuro-Symbolic AI, Tractable Probabilistic Reasoning, Generative Models kareemahmed.com
@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!
@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
@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