Erik Bekkers
AMLab, Informatics Institute, University of Amsterdam. ELLIS Scholar. Geometry-Grounded Representation Learning. Equivariant Deep Learning.
@jonasspinner.bsky.social
PhD student working on machine learning for high energy physics. Interested in equivariant architectures and generative modelling.
@sukjulian.bsky.social
Postdoc @ Technical University of Munich | Intern @ Qualcomm AI Research | PhD @ University of Twente | Geometric deep learning for cardiovascular flow
@markpauly.bsky.social
Professor at EPFL, Director of the Geometric Computing Laboratory https://www.epfl.ch/labs/gcm/
@danielrueckert.bsky.social
Prof at TUM and Imperial College London. Doing research on AI in healthcare and medicine
@fauxsmart.bsky.social
Interested in: * intelligence, both artificial and natural * science(-fiction) * nature * liberal/progressive politics * getting Russia out of Ukraine
@jwvdm.bsky.social
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
@diadochus.bsky.social
« artificia docuit fames » 📖 deep learning, reasoning 🧪 drug design @Mila_Quebec 🏛️ AI grad @UniTrento halixness.github.io
@thserra.bsky.social
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
@pcascanteb.bsky.social
UMIACS Postdoc - Incoming Assistant Professor @ SBU CS. Vision and Language. Prev. @RiceCompSci @vislang @merl_news @MITIBMLab. EECS Rising Star'23. Former drummer. 🇨🇷 https://paolacascante.com/
@hnisonoff.bsky.social
PhD student at UC Berkeley Machine Learning for Protein Engineering
@tychovdo.bsky.social
Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
@ilyaschurov.bsky.social
Mathematics, AI, ML, education and applications. http://ilya.schurov.com/
@shivvarya.bsky.social
PhD Candidate at UTD | Specializing in Probabilistic & Neurosymbolic AI, Explainable AI, and Computer Vision | Website https://shivvrat.github.io
@amirvaxman-dgp.bsky.social
Geometry processor, discrete differentiator of geometry, mesher, directional fielder, finite elementor, and reconstructor. Reader (Associate professor) @ School of Informatics @ University of Edinburgh
@helenzhang.bsky.social
Ph.D. Student @ Mila Québec 🍁🤖🧗♀️ Machine learning, optimization M.Sc. @ UBC Vancouver https://tianyuehz.github.io/
@sarahcsachs.bsky.social
Postdoc at Bocconi. Interested in optimization, game theory and learning theory.
@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
@shwartzzzivravid.bsky.social
Faculty Fellow and Assistant Professor at NYU's Center of Data Science
@rish-16.bsky.social
multiplying matrices @ yale • geometric DL + generative modelling for proteins, RNA, and drug discovery 🛠🧬
@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/
@tffr.net
Computer science graduate from University of Warwick Geometric Deep Learning, distributed systems enjoyer
@bramrenting.bsky.social
PhD candidate at Hybrid Intelligence Centre, @UniLeiden & @TUDelft | Multi-Agent Systems, RL, Algorithm Configuration, Negotiation | MSc in CS from @TUDelft bramrenting.nl
@ceperez.bsky.social
Author: Artificial Intuition, Fluency & Empathy, DL Playbook, Patterns for Generative AI, Patterns for Agentic AI https://twitter.com/IntuitMachine https://intuitionmachine.gumroad.com https://medium.com/intuitionmachine
@paulmasset.bsky.social
Assistant Professor, McGill University | Affiliate Member, Mila - Quebec AI Institute | Neuroscience and AI, learning and inference, dopamine and cognition https://www.mcgill.ca/psychology/paul-masset
@soufmourra.bsky.social
Machine Learning @ Ensocell Comp-Bio | Single Cell | Oncology 📍Cambridge, UK Prev. van Oudenaarden group, Hubrecht, TU Delft, NKI Amsterdam & Mines Paris
@sejdino.bsky.social
Professor of Statistical Machine Learning at the University of Adelaide. https://sejdino.github.io/
@omorfiamorphism.bsky.social
DL × Computational Physics: Diffusion/Flow Matching for molecular dynamics, statistical physics for DL and vice versa! Cellular automata hobbyist 👾 Covino Lab
@mathildepapillon.bsky.social
Deep Learning + Topology + Human Movement Physics PhD candidate Now at Geometric Intelligence Lab, UC Santa Barbara and Los Angeles Dodgers Prev McGill Physics mathildep.ca
@scottrush.bsky.social
Scientist interested in structural biology, vaccine design, antibodies, protein engineering… pretty much everything
@marcobonici.bsky.social
PostDoc at the Waterloo Center for Astrophysics. Working on Cosmic Voids and Large Scale Structure of the Universe. JuliaLang enthusiast. Improv Theatre and StandUp comedy lover.
@abbybertics.bsky.social
dynamical neuroscience phd student at ucsb 🧠 geometric intelligence lab & complex systems group in past lives: science correspondent at The Economist 📝🎡 computer science and volleyball at mit 💻🏐
@benjmurrell.bsky.social
🇸🇪🇿🇦 Researcher at Karolinska. Comp bio. Phylogenetics. Deep learning. All in Julia. Virology. Immunology. https://scholar.google.com/citations?user=I80vy5cAAAAJ
@ja-schnabel.bsky.social
Prof HelmholtzMunich TUM King’s XRnostics #MICCAI2024 ML in Biomedical Imaging - posts my own linkedin.com/in/juliaschnabel
@danielged.bsky.social
PostDoc Tübingen @mackelab.bsky.social 🇩🇪 PhD Uppsala 🇸🇪 MSc Delft 🇳🇱 Machine learning for science dgedon.github.io
@ffabffrasca.bsky.social
Postdoctoral Fellow at Technion — Geometric Deep Learning in some of its various forms — PhD at Imperial College London — Previously Twitter, Fabula AI and Politecnico di Milano「 心 」🌟
@vijaypradwi.bsky.social
Postdoc @Stanford 🇺🇸| PhD @NTUsg Singapore 🇸🇬| #ComputerScience #AI #DeepLearning #Research #GraphNNs
@jhonyhgiraldo.bsky.social
Assistant professor at Télécom Paris, Institut Polytechnique de Paris 🇨🇵🇨🇴. #GeometricDeepLearning #ComputerVision https://jhonygiraldo.github.io/
@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/
@henrygo.uk
Assistant Professor (Lecturer) and RAEng Research Fellow at University of Edinburgh 🏴. Working on Verifiable AI. henrygouk.com
@megstanley.bsky.social
Microsoft Research AI for Science, previously physics @ Cambridge. views my own
@mattpenner.bsky.social
PhD student Uni of Cambridge | Enzyme engineering and design for sustainable biocat | Droplet microfluidics as a tool for mega-scale data collection
@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
@dicksonlab.bsky.social
Developing new methods for molecular simulation. Likes: Data vis; ML; drug discovery; semicolons.
@romanklinger.de
professor for natural language processing, head of BamNLP @bamnlp.de 📍 Duisburg, Stuttgart, Bamberg #NLProc #emotion #sentiment #factchecking #argumentmining #informationextraction #bionlp
@sanjyot.bsky.social
Doctoral Student at the Carnegie Mellon University - University of Pittsburgh Joint Ph.D. Program in Computational Biology (CPCB). Former - Mathematics, IIT Bombay