Write like a rocket scientist with Overleaf — the collaborative, online LaTeX editor that anyone can use.
Physicist, PhD network science & co-founder www.dribia.com. Strictly personal & sci thoughts in this account. Interested in #ML #Sport #Politics
I had a description, but I realized I'm just yelling into the void.
FWIW, I'm into epistemology, DS/AI/ML, and math, but I'm mostly angry at fascists now.
My posts are my own and don't reflect the dispositions of any other person, entity, or institution.
Prof at Saarland. NLP and machine learning.
Theory and interpretability of LLMs.
https://www.mhahn.info
The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
PhD Student in Mathematical Statistics at University of Twente working with Bandits
Dog Owner | he/him
Website: https://fabian.damken.net
#RobotLearning Professor (#MachineLearning #Robotics) at @ias-tudarmstadt.bsky.social of
@tuda.bsky.social @dfki.bsky.social @hessianai.bsky.social
Founding Director of MODEMAT. Researcher in optimization and inverse problems.
Math Assoc. Prof. (on leave, Aix-Marseille, France)
Interest: Prob / Stat / ANT. See: https://sites.google.com/view/sebastien-darses/research?authuser=0
Teaching Project (non-profit): https://highcolle.com/
PhD student at the University of Edinburgh and Heriot Watt University.
PhD candidate at UCSD. Prev: NVIDIA, Meta AI, UC Berkeley, DTU. I like robots 🤖, plants 🪴, books 📚, and they/them pronouns 🏳️🌈
https://www.nicklashansen.com
PhD student in Machine Learning @Warsaw University of Technology and @IDEAS NCBR
🇺🇸➔🇩🇪 Expat | 🤖 Data Scientist | 🎓 PhD Research Associate | 📺 Political Communication | 💻 Computational Social Science | 🐾 Dogs
Computer Scientist at SRI. Machine Learning. Uncertainty Quantification.
✨ Sharing stories of women in mathematics in all walks of life #hermathsstory
🔗 https://hermathsstory.eu
PhD @ Edinburgh - Subsurface fluid dynamics of bubble driven eruptions (experimental) and gas monitoring with UV-SO2 cameras (instrumental).
Autorin, Podcasterin und Philosophin 🎓✍🏻
AuDHS, Feminismus & mentale Gesundheit 🧠
Mein Buch: „Nicht falsch, nur neurodivergent“ 📖
Podcast: „Neurodiverdings“ 🎙️
#ImageAnalysis Centre for #AI in #PublicHealth Research @rki.de • PhD in applied maths from @cam.ac.uk • co-founder @hermathsstory.bsky.social • #firstgen #scicomm • she/her
High Energy Physics/Machine Learning/Data Science Prof @tum.de www.lukasheinrich.com
Intrigued by inverse problems & uncertainties. Lecturer in Applied Mathematics at the University of Manchester (views are my own; he/him) | web: www.latzplacian.org
Professor of Theoretical Chemistry @sorbonne-universite.fr & Director @lct-umr7616.bsky.social| Co-Founder & CSO @qubit-pharma.bsky.social | FRSC (My Views)
https://piquemalresearch.com | https://tinker-hp.org
Science journalist and author of THE UFO FILES (Quarto, 2025). I talk about AI, fascinating research, and walks in the woods. Anything that makes me say “wow!” She/her
Researching Al and Machine Learning in the Finance sector, conference speaker, co-author of The Al book
i am a cognitive scientist working on auditory perception at the University of Auckland and the Yale Child Study Center 🇳🇿🇺🇸🇫🇷🇨🇦
lab: themusiclab.org
personal: mehr.nz
intro to my research: youtu.be/-vJ7Jygr1eg
Manchester Centre for AI FUNdamentals | UoM | Alumn UCL, DeepMind, U Alberta, PUCP | Deep Thinker | Posts/reposts might be non-deep | Carpe espresso ☕
PhD student 🎓 in Statistics at Bielefeld University interested in doubly stochastic processes and their application to ecology 🦅, sports 🏈, and finance 📈.
Website: https://janolefi.github.io
GitHub: https://github.com/janolefi
Assistant professor at CUNEF. Bayesian Stats and/OR probabilistic ML
Post-doc @ETH, climate extremes under climate change, heatwaves and droughts, use of rare events algorithms
Postdoc in Statistics | University of Chicago
Mathematician @ Ruhr University Bochum. Antifascist.
Quickly getting bored with social media, let's see how it goes.
Homepage: https://homepage.rub.de/christian.stump
PhD Student @TU Berlin @BIFOLD working on ML applications for chemistry
PhD student at TU Berlin | Large-scale Data Systems | PMC member of
Apache SystemDS | Past: Sr. SWE @ Teradata Database
Profile: https://phaniarnab.github.io/
Machine learning researcher @ D. E. Shaw Research working on ML for quantum chemistry and drug discovery. Big fan of TTRPGs and bouldering.
Postdoctoral Researcher @ TU Berlin @BIFOLD Berlin | AI for molecular simulations
PhD student at @bifold.berlin, Machine Learning Group, TU Berlin.
Automatic Differentiation, Explainable AI and #JuliaLang.
Open source person: adrianhill.de
ML Ph.D. Candidate @tuberlin.bsky.social and @bifold.berlin | Explainable AI, Interpretability, Efficient Machine Learning
farnoushrj.github.io
Senior Researcher in AI for Biotech & @eml-munich.bsky.social | Prev. SR at Google DeepMind | PhD in ML and NeuroAI from @tuberlin.bsky.social @bifold.berlin @mpicbs.bsky.social | Representations in 🧠 and 🤖 | #FirstGen 🌈
💻: https://lukasmut.github.io/
PhD student in Interpretable ML @UMI_Lab_AI, @bifoldberlin, @TUBerlin
PhD Student at the TU Berlin ML group + BIFOLD | BUA Fellow
Model robustness/correction 🤖🔧
Understanding representation spaces 🌌✨
PhD @ ML Group TU Berlin, BIFOLD, HFA, @ellis.eu | BSc & MSc @ethzurich.bsky.social
Senior Researcher Machine Learning at BIFOLD | TU Berlin 🇩🇪
Prev at IPAM | UCLA | BCCN
Interpretability | XAI | NLP & Humanities | ML for Science
Scientist and music nerd. All things machine learning and genomics for gene regulation.
Faculty at Max Delbruck Centrum and Humboldt University Berlin
@mdc-berlin.bsky.social
http://www.mdc-berlin.de/ohler
Baritone at www.byrdland.org
Assistant Professor at TU Wien
Machine Learning & Security
Professor at BIFOLD & TU Berlin, research on data engineering for ML. Previously at UvA, NYU, Amazon, Twitter. Opinions are my own.
https://deem.berlin
PhD Student at BIFOLD & TU Berlin, researching data management for ML. Previously worked with UvA, Microsoft GSL, Amazon Research, Oracle Labs, and others.
https://stefan-grafberger.com
Machine Learning and Security,
Professor of Computer Science at TU Berlin,
Firmware Security • Embedded Systems • AI x Infosec •
Researcher @binarly • PhD Candidate @TUBerlin •
Capturing Flags with ENOFLAG
Database Systems Researcher at BIFOLD / Technische Universität Berlin. Working on Federated Query Processing and Database Systems Interoperability.
Professor of Machine Learning at TUBerlin, group leader at PTB. Lab account: @qailabs.bsky.social.
@sparsity@mastodon.social
tu.berlin/uniml/about/head-of-group
Senior Researcher in machine learning (ML) at TU Berlin and BIFOLD; Alumnus of Humboldt University of Berlin and University of Potsdam, Germany.
Post-doctoral Researcher at BIFOLD / TU Berlin interested in interpretability and analysis of language models. Guest researcher at DFKI Berlin. https://nfelnlp.github.io/
PhD student at ML-lab at TU-Berlin
doing Neuroscience <-> MachineLearning research
Machine Learning for Precision Medicine
PhD student at BIFOLD & TU Berlin
Data Scientist at Aignostics
https://marvinsextro.de
Professor at TU Berlin and Bifold
PhD student in Interpretable Machine Learning at @tuberlin.bsky.social & @bifold.berlin
https://web.ml.tu-berlin.de/author/laura-kopf/
PhD student @ ELIZA TU/FU Berlin - plainer.dev
AI and machine learning researcher based in Berlin, Germany.
-Nonparametric tensor methods.
-Deep anomaly detection
ravdm.github.io
scholar.google.com/citations?user=eSjfzOUAAAAJ
orcid.org/0000-0001-6863-7006
Head of the Intelligent Biomedical Sensing (IBS) Lab at TU Berlin (www.ibs-lab.com), Lead Tech. Advisor of NIRx. Former C-level executive. Translating neurotechnology to the everyday world.
Data Engineering, Distributed Systems, Software Engineering
phd student at tu berlin
compilers, databases, ml systems
Ph.D. Student at BIFOLD & TU Berlin | Data Validation and LLMs
https://hchen.io
PhD at TU Berlin 🇩🇪 | Master's at ETH Zurich 🇨🇭
Prof at TU Berlin and BIFOLD; research on ML systems and data management.
mboehm7.github.io
Assistant Professor and Head of the "Spatial Analytics and Large-Scale Data Processing" group at the Hasso Plattner Institute (@hpi.bsky.social).
Previously at ITU Copenhagen, TU Berlin, and EPFL (PhD).
https://heltzi.github.io
PhD Student @ https://bifold.berlin/, TU Berlin.
Computational Pathology, XAI, Multimodal ML, Representation Learning.
Github: https://github.com/bifold-pathomics
Deep Learning Research Scientist at Technical University of Berlin
Groundbreaking foundational research in Big Data Management, Machine Learning, and their intersection. #AI #Research
www.bifold.berlin
📰News: www.bifold.berlin/news-events/news
🔑Data Privacy: www.bifold.berlin/data-privacy
Data, Machine Learning and Entreprenuership
MSCA PhD student at AMLab with Erik Bekkers, interested in geometric deep learning, generative models and their intersection 🌐 ✨
bit.ly/olga-zaghen
Assis. Prof. @ucsbece Affiliate @SLAClab Stanford Prev @Stanford @Inria @imperialcollege @Polytechnique PI @geometric_intel
http://gi.ece.ucsb.edu, Pilot
The official account of the Amsterdam Machine Learning Lab (AMLab) at UvA, co-directed by Max Welling and Jan-Willem van de Meent.
From Physics to Vision Neuroscience & AI | PhD Candidate @InstVisionParis & @ENS_ULM | Enjoyed my time @FlatironCCN, @CERN | co-organizer @neurreps
PhD candidate at @amlab.bsky.social focusing on Geometry-informed Machine Learning 🤖 https://agarciacast.github.io
PhD candidate at AMLab with Max Welling and Jan-Willem van de Meent.
Research in physics-inspired and geometric deep learning.
PhD student @ AMLab interested in Geometric Deep Learning, AI4Science, generative models on Molecules / Protein
PhD candidate w/ @erikjbekkers & @egavves interested in Geometric Deep Learning and Generative Modelling at @AMLab & @ellogonai
github.com/Dafidofff
PhD candidate at UvA in continuous signal modelling, geometric deep learning and dynamics.
Technical Leader - Artificial Intelligence and Machine Learning Enthusiast - Senior Software Engineer https://www.linkedin.com/in/brunoneri
ELLIS PhD @ AIDOS - Interested in Geometrical Deep Learning | Topological Deep Learning | Graphs
PhD candidate at University of Amsterdam | Physics-Informed Generative Modeling
Re-imagining drug discovery with AI 🧬. Deep Learning ⚭ Geometry. Previously PhD at the University of Amsterdam. https://amoskalev.github.io/
Geometry-grounded representation learning and generative modeling at ICML.
Associate Professor in Machine Learning 👨🏫
Shanghai Jiao Tong University (SJTU)
SJTU Paris Elite Institute of Technology
🇫🇷
#RecSys #GraphML #LLM #Music #Research #Science
Previously at:
Kibo Ryoku 🌸, Deezer 🎸, Polytechnique 🎓
🔗 guillaumesalhagalvan.com
Looking for a PhD Position in Topological Deep Learning | Ex Sony AI | Purdue | IIT Bombay
ipsitmantri.github.io
ML PhD student at University of Oxford. Interested in Geometric Deep Learning
Developing ML methods for Drug Discovery @ Novartis 🧬💻 | prev: PhD student @ University of Edinburgh with Toni Mey
Geometric deep learning + Computer vision
Machine learner & physicist. At CuspAI, I teach machines to discover materials for carbon capture. Previously Qualcomm AI Research, NYU, Heidelberg U.
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 💻🏐
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
Mathematician - Interested in ML, Geometry, Optimization, Time Series https://scholar.google.com/citations?user=vIJxhvcAAAAJ&hl=en
https://github.com/dnguyend/
PhD student in Computer Science at UBC | Exploring Machine Learning on Graphs
https://www.hamedshirzad.com/
Research Scientist @ Google. Prev: Intel, Postdoc @mila-quebec.bsky.social & McGill.
GraphML, GNNs, Geometric DL, Knowledge Graphs.
Grandmaster of 80's music (according to Spotify)
