Olga Zaghen
MSCA PhD student at AMLab with Erik Bekkers, interested in geometric deep learning, generative models and their intersection 🌐 ✨
K-hip hop scholar 🇰🇷 and dancer-in-the-making 💃
bit.ly/olga-zaghen
Starter Packs
Created by Olga Zaghen (1)
GDL
Geometric Deep Learning starter pack: grids, groups, graphs, geodesics, gauges and more! Let's connect. :) Feel free to message me if you wish to be added.
@samuelepapa.bsky.social
Deep Learning PhD student @ University of Amsterdam and The Netherlands Cancer Institute. Loving real-world applications, physics, 3D understanding and medical imaging.
@pascalmettes.bsky.social
Assistant Professor, University of Amsterdam Hyperbolic deep learning
@juliagasti.bsky.social
Temporal Knowledge Graphs and Fish Jokes PhD student at University of Mannheim Previously Research Scientist at NEC Laboratories Europe and Collaborating Researcher at Mila (She/Her)
@fionalippert.bsky.social
Postdoc at SRON | PhD at AMLab & AI4Science Lab, University of Amsterdam Interested in AI for Earth science & ecology, hybrid modeling, geospatial machine learning
@clabat9.bsky.social
Postdoc @Harvard | Topological Signal Processing ⋂ Deep Learning ⋂ AI for Health and Climate ⋂ Stochastic Optimization | Ex Visiting Associate @PennEngineers 🔗 cbattiloro.com
@jonasspinner.bsky.social
PhD student working on machine learning for high energy physics. Interested in equivariant architectures and generative modelling.
@janstuehmer.bsky.social
ML for Science, Interpretability & GNNs. Jun.-Prof. @ KIT. ML-Group @ Heidelberg Institute for Theoretical Studies. Previously Samsung AI, Microsoft Research, MIT-CSAIL, TUM & Caltech. Opinions and typos are my own.
@alihariri961.bsky.social
PhD student @ EPFL. Interested in graph structures and long-range dependencies in general.
@monaschir.bsky.social
PhD candidate @amlab.bsky.social @ellis.eu Probabilistic Machine Learning | Sequence Models
@jeongwhanchoi.bsky.social
Ph.D Student @Yonsei Univ. Graph machine learning & Transformer jeongwhanchoi.me
@leeps.bsky.social
building 30 ai agent workflows in 30 days https://agents.mechifact.com I repost a lot of art prev: ed tech startup (10M users, acquired), yc, that forbes list, mit
@manuelmlmadeira.bsky.social
PhD student @epfl | trying to boost science via machine learning
@mariasofiab.bsky.social
👩🎓Postdoc Sapienza, Rome — PhD at Sapienza, Rome Previously Intern at Amazon Search, Lux — Visiting at Cambridge
@mtiezzi.bsky.social
PostDoc Researcher @ IIT, Continual and Lifelong Learning -> Robots, Graph Neural Networks, Sequence Processing | CoLLAs 2024 Local Chair 🏠 mtiezzi.github.io
@federico-errica.bsky.social
Senior Research Scientist at NEC. PhD in CS @ UniPi, Bayesian Deep Learning for Graphs. Trying to do Science 🔍, not SotA 🥇.
@gdalle.bsky.social
Researcher in machine learning and optimization. Open source enthusiast. Parody songwriter (aka PianoHamster). OCD survivor.
@rmassidda.it
Post Doc researcher at the University of Pisa. Previously PhD student @ellis.eu.
@crisostomi.bsky.social
🧑🎓 PhD stud. @ Sapienza, Rome 🥷stealth-mode CEO 🔬prev visiting @ Cambridge | RS intern @ Amazon Search | RS intern @ Alexa. 🆓 time 🎭improv theater, 🤿scuba diving, ⛰️hiking
@neuripsconf.bsky.social
The Thirty-Eighth Annual Conference on Neural Information Processing Systems will be held in Vancouver Convention Center, on Tuesday, Dec 10 through Sunday, Dec 15. https://neurips.cc/
@iclr-conf.bsky.social
International Conference on Learning Representations https://iclr.cc/
@auai.org
Association for Uncertainty in AI. Upcoming conference: #uai2025 July 21-25th in Rio de Janeiro, Brazil 🇧🇷 ! https://auai.org/uai2025
@steveazzolin.bsky.social
ELLIS PhD student @ UNITN/UniCambridge || Prev. Visiting Research Student at UniCambridge || Prev. Research intern at SISLab
@alessandrofavero.bsky.social
AI & Physics PhD student at EPFL. Working on understanding AI (generalization, deep generative models, post-training). Former applied scientist intern at Amazon AI. https://alesfav.github.io/
@iduta.bsky.social
PhD student @ University of Cambridge, interested in (Hyper)Graph Representation Learning.
@sukjulian.bsky.social
PhD @ University of Twente | Internship @ Qualcomm AI Research | Postdoc @ Technical University of Munich | Geometric deep learning for cardiovascular hemodynamics estimation and beyond
@larsschaaf.bsky.social
PhD student @Cambridge_Uni • ML on Graphs for Molecules & Materials • ML force fields and atomic simulations
@coallaoh.bsky.social
Professor in Scalable Trustworthy AI @ University of Tübingen | Advisor at Parameter Lab & ResearchTrend.AI https://seongjoonoh.com | https://scalabletrustworthyai.github.io/ | https://researchtrend.ai/
@dnnslmr.bsky.social
Postdoctoral researcher at the Institute for Logic, Language and Computation at the University of Amsterdam. Previously PhD Student at NLPNorth at the IT University of Copenhagen, with internships at AWS, Parameter Lab, Pacmed. dennisulmer.eu
@ema-ridopoco.bsky.social
Almost-PhD-completed in AI @ University of Trento and Pisa. I like #concepts, #symbols, and #representations, but I still don't know what they are. 📍 Trento, Italy 🧵 #identifiability, #shortcuts, #interpretability
@timvanerven.nl
Associate professor in machine learning at the University of Amsterdam. Topics: (online) learning theory and the mathematics of interpretable AI. www.timvanerven.nl Theory of Interpretable AI seminar: https://tverven.github.io/tiai-seminar
@adri-arnaiz.bsky.social
🎓 PhD Student at @ellis.eu Alicante ⚖️ Algorithmic Fairness and Trustworthy AI 🕸️ Graph Neural Networks 🌐 https://adrian-arnaiz.netlify.app/
@natashabutt.bsky.social
PhD student at the University of Amsterdam Advised by Max Welling and Jan-Willem van de Meent
@onlinekyne.bsky.social
Math and science communicator, drag queen, author of “Math In Drag” 💖 My videos: instagram.com/onlinekyne
@harrisbio.bsky.social
PhD @ Cambridge in AI for Bio | Interested in generative modelling for drug discovery and science policy 🇬🇧 Website: cch1999.github.io Blog: harrisbio.substack.com Database: harrisbio.notion.site
@nabiliqbal.bsky.social
theoretical physics. normally professing at durham u. currently machine learning at amlab at university of amsterdam. www.nabiliqbal.com
@icannistraci.bsky.social
PostDoc at ETH Zurich | Prev. PhD at Sapienza Roma| Working on Representation Learning. irene.cannistraci.dev