Siby Hess @ilsebyl.bsky.social Dada miner
Derp learning
Giovanni Terremoto @daeargryn.bsky.social Italian PHD Student in Artificial Intelligence at University of Calabria
Maria Wollburg @mariawollburg.bsky.social 
Jesse Davis @jessejdavis.bsky.social Professor @ KU Leuven researching AI, machine learning, and sports. Co founder of runeasi
Poorva Garg @poorvagarg.bsky.social Working on Probabilistic Programming Languages
https://web.cs.ucla.edu/~poorvagarg/
Steven Holtzen @sholtzen.bsky.social I like computers.
assistant prof at northeastern https://www.khoury.northeastern.edu/home/sholtzen/
Sriraam Natarajan @nsriraam.bsky.social Professor of CS working in Statistical Relational AI, neurosymbolic AI, graphical models, sequential decision making and healthcare.
Luc De Raedt @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
Robert Peharz @ropeharz.bsky.social Assistant prof at TU Graz, formerly assistant prof at TU Eindhoven, Marie-Curie Fellow at University of Cambridge. Probabilistic Machine Learning.
@jessabekker.bsky.social @jessabekker.bsky.social 
cassio @cassiodecampos.bsky.social AV wants a rice bowl. And apparently it can't be any rice bowl.
Aleksanteri Sladek @sladeka.bsky.social Doctoral student in Probabilistic ML at Aalto University
Gabriele Venturato @gabventurato.bsky.social PhD Student in Neurosymbolic AI @ DTAI Lab, KU Leuven
Fabrizio Ventola @fventola.bsky.social PhD candidate at AI & ML lab @ TU Darmstadt (he/him). Research on deep, flexible, and efficient probabilistic models.
Devendra Singh Dhami @devendradhami.bsky.social Pahadi 🇮🇳| Assistant Professor at TU Eindhoven 🇳🇱| Causality, Neuro-symbolic AI, Probabilistic Circuits and pretty much all of Machine Learning ;)
Anji Liu @anjiliu.bsky.social Assistant Professor (Presidential Young Professor, PYP) at the National University of Singapore (NUS).
https://liuanji.github.io/
Robin Manhaeve @robinmanhaeve.bsky.social A post-doc researcher at DTAI, KU Leuven. I focus on neurosymbolic AI.
Christopher Peters @statwonk.bsky.social statwonk.com, Dad, Partner. Statistician-Econometrician-Engineer. AI Developer. Decision theory. Game theory. #autisticpride #9 at Zapier, first DS
Pasha @pashakho.bsky.social https://khosravipasha.github.io/
@oliverbroadrick.bsky.social @oliverbroadrick.bsky.social 
Benjie Wang @benjiewang.bsky.social Assistant Professor at University of Utah | Previously @ UCLA, UC Berkeley, University of Oxford
Louis Sharrock @louissharrock.bsky.social Lecturer (Assistant Prof) in Statistical Science at UCL.
Previously Postdoc @ Lancaster Uni, PhD @ Imperial College London, MA @ Cambridge Uni.
Interested in computational stats, probabilistic ML, optimisation.
Website: https://louissharrock.github.io/- W Wannes Meert @wannesm.bsky.social
DTAI - KU Leuven @dtai-kuleuven.bsky.social Declarative Languages and Artificial Intelligence research group at the KU Leuven Computer Science department.
https://dtai.cs.kuleuven.be
YooJung Choi @yjchoi1.bsky.social Assistant Professor at SCAI, ASU
yoojungchoi.github.io
Federico Errica @federico-errica.bsky.social Senior Research Scientist at NEC. PhD in CS @ UniPi, Bayesian Deep Learning for Graphs. Trying to do Science 🔍, not SotA 🥇.
Bennet Wittelsbach @bewit.bsky.social PhD student @TUDarmstadt thinking about probabilistic reasoning in our multimodal world
Florian Busch @florianbusch.bsky.social PhD student at AI/ML Lab, TU Darmstadt
Moritz Willig @moritzwillig.bsky.social PhD student at AIML Lab, TU Darmstadt, Germany.
Teaching AI models 'genuine' (causal) reasoning | https://moritz-willig.de/
Tim @philosotim.bsky.social researching causality and interactive AI at AIML Lab, TU Darmstadt | also interested in philosophy, logic, physics and vegan baking
Steven Braun @handle.invalid 
Zhe Zeng @zzhe.bsky.social Incoming Assist. Prof. @UVA | Faculty fellow @NYU | CS Ph.D @UCLA | Neurosymbolic AI, Probabilistic ML, Constraints, AI4Science | https://zzeng.me/
Lennart Purucker @lennartpurucker.bsky.social PhD student sup. by Frank Hutter; researching automated machine learning and foundation models for (small) tabular data!
Website: https://ml.informatik.uni-freiburg.de/profile/purucker/
Andreas Geiger @andreasgeiger.bsky.social Professor, University of Tübingen @unituebingen.bsky.social.
Head of Department of Computer Science 🎓.
Faculty, Tübingen AI Center 🇩🇪 @tuebingen-ai.bsky.social.
ELLIS Fellow, Founding Board Member 🇪🇺 @ellis.eu.
CV 📷, ML 🧠, Self-Driving 🚗, NLP 🖺
@gophertea.bsky.social @gophertea.bsky.social 
Winfried Ripken @winfried-ripken.bsky.social PhD Student @TU Berlin @BIFOLD working on ML applications for chemistry
Arnab Phani @arnabphani.bsky.social PhD student at TU Berlin | Large-scale Data Systems | PMC member of
Apache SystemDS | Past: Sr. SWE @ Teradata Database
Profile: https://phaniarnab.github.io/
Mihail Bogojeski @bogojeski.bsky.social Machine learning researcher @ D. E. Shaw Research working on ML for quantum chemistry and drug discovery. Big fan of TTRPGs and bouldering.
Thorben Frank @thorbenfrank.bsky.social Postdoctoral Researcher @ TU Berlin @BIFOLD Berlin | AI for molecular simulations
Adrian Hill @adrianhill.de PhD student at @bifold.berlin, Machine Learning Group, TU Berlin.
Automatic Differentiation, Explainable AI and #JuliaLang.
Open source person: adrianhill.de
Farnoush Rezaei-Jafari @farnoushrj.bsky.social ML Ph.D. Candidate @tuberlin.bsky.social and @bifold.berlin | Explainable AI, Interpretability, Efficient Machine Learning
farnoushrj.github.io
Lukas Muttenthaler @lukasmut.bsky.social Senior Researcher in AI4Health | Prev. Postdoc @eml-munich.bsky.social & 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/
Kirill Bykov @kirillbykov.bsky.social PhD student in Interpretable ML @UMI_Lab_AI, @bifoldberlin, @TUBerlin
Lorenz Linhardt @lorenzlinhardt.bsky.social PhD Student at the TU Berlin ML group + BIFOLD | BUA Fellow
Model robustness/correction 🤖🔧
Understanding representation spaces 🌌✨
Laure Ciernik @lciernik.bsky.social PhD @ ML Group TU Berlin, BIFOLD, HFA, @ellis.eu | BSc & MSc @ethzurich.bsky.social
Oliver Eberle @eberleoliver.bsky.social Senior Researcher Machine Learning at BIFOLD | TU Berlin 🇩🇪
Prev at IPAM | UCLA | BCCN
Interpretability | XAI | NLP & Humanities | ML for Science
Uwe Ohler @uweohler.bsky.social 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 
Daniel Arp @darpsky.bsky.social Assistant Professor at TU Wien
Machine Learning & Security
Sebastian @mersault.bsky.social Professor at BIFOLD & TU Berlin, research on data engineering for ML. Previously at UvA, NYU, Amazon, Twitter. Opinions are my own.
https://deem.berlin
Stefan Grafberger @stefan-grafberger.com 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
Konrad Rieck 🌈 @rieck.mlsec.org Machine Learning and Security,
Professor of Computer Science at TU Berlin,
lukas seidel @pr0me.bsky.social Firmware Security • Embedded Systems • AI x Infosec •
Researcher @binarly • PhD Candidate @TUBerlin •
Capturing Flags with ENOFLAG
Haralampos Gavriilidis @harrygav.bsky.social Database Systems Researcher at ICSI / UC Berkeley NetSys. Working on Federated Query Processing and Database Systems Interoperability. http://www.harrygav.com
Stefan Haufe @sparsity.bsky.social 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
Mikio Braun 💎 @mikiobraun.com ML, coding, Berlin.
mikiobraun.de
Current side project: talkwithren.com
Dennis Grinwald @dgrinwald.bsky.social - K @ktschuett.bsky.social @ktschuett.bsky.social
- A Andreas Ziehe @aziehe.bsky.social Senior Researcher in machine learning (ML) at TU Berlin and BIFOLD; Alumnus of Humboldt University of Berlin and University of Potsdam, Germany.
Nils Feldhus @nfel.bsky.social Postdoctoral Researcher @ University of Groningen / GroNLP (@gronlp.bsky.social) interested in the interpretability and analysis of language models. Ex- BIFOLD, TU Berlin, DFKI. https://nfelnlp.github.io/
Marvin Sextro @marvinsextro.de Machine Learning for Precision Medicine
PhD student at BIFOLD & TU Berlin
Data Scientist at Aignostics
https://marvinsextro.de
Ziawasch Abedjan @ziamurai.bsky.social Professor at TU Berlin and Bifold
Laura Kopf @lkopf.bsky.social PhD student in Interpretable Machine Learning at @tuberlin.bsky.social & @bifold.berlin
https://web.ml.tu-berlin.de/author/laura-kopf/
Stefaan Hessmann @mitfund2a.bsky.social 
Michael Plainer @plainer.bsky.social PhD student @ ELIZA TU/FU Berlin - plainer.dev
Robert A. Vandermeulen @robvdm.bsky.social 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
Jannik Wolff @jannikwolff.bsky.social 
Alexander von Lühmann @avonluh.bsky.social 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. - A Ankit Chaudhary @ankitcha.bsky.social Data Engineering, Distributed Systems, Software Engineering
Fatemeh Ahmadi @fatemeh-ahmadi.bsky.social Ph.D. Student - TU Berlin & Bifold
Philipp Ortner @philipportner.bsky.social phd student at tu berlin
compilers, databases, ml systems
Hao Chen @guangchen811.bsky.social Ph.D. Student at BIFOLD & TU Berlin | Data Validation and LLMs
https://hchen.io
Olga Ovcharenko @oovcharenko.bsky.social PhD at TU Berlin 🇩🇪 | Master's at ETH Zurich 🇨🇭
Matthias Boehm @matthiasboehm7.bsky.social Prof at TU Berlin and BIFOLD; research on ML systems and data management.
mboehm7.github.io
Eleni Tzirita Zacharatou @elenitz.bsky.social 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
Julius Hense @juliushense.bsky.social PhD Student @ https://bifold.berlin/, TU Berlin.
Computational Pathology, XAI, Multimodal ML, Representation Learning.
Github: https://github.com/bifold-pathomics
Stephanie Brandl @stephaniebrandl.bsky.social Assistant Professor in NLP (Fairness, Interpretability and lately interested in Political Science) at the University of Copenhagen ✨
Before: PostDoc in NLP at Uni of CPH, PhD student in ML at TU Berlin
@sidney1505.bsky.social @sidney1505.bsky.social Deep Learning Research Scientist at Technical University of Berlin
BIFOLD Berlin Institute for the Foundations of Learning and Data @bifold.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
Lukas Heinrich @lukasheinrich.com High Energy Physics/Machine Learning/Data Science Prof @tum.de www.lukasheinrich.com
Rachel Lawrence @rachel-law.bsky.social Organic machine turning tea into theorems ☕️
AI @ Microsoft Research ➡️ Goal: Teach models (and humans) to reason better
Let’s connect re: AI for social good, graphs & network dynamics, discrete math, logic 🧩, 🥾,🎨, protecting democracy🗽
www.rlaw.me
Tim van Erven @timvanerven.nl Associate professor in machine learning at the University of Amsterdam. Topics: (online) learning theory and the mathematics of explainable AI.
www.timvanerven.nl
Theory of Interpretable AI seminar: https://tverven.github.io/tiai-seminar
Ioannis Kontoyiannis @kontoyiannis.bsky.social Information theory, probability, statistics. Churchill Professor of Mathematics of Information @UofCambridge: dpmms.cam.ac.uk/person/ik355/ 🧮 #MathSky 🧪 #Science
[used to be @yiannis_entropy at the other place]
Amartya Sanyal @amartyasanyal.bsky.social Assistant Professor @Dept. Of Computer Science, University of Copenhagen, Ex Postdoc @MPI-IS, ETHZ, PhD @University of Oxford, B.Tech @CSE,IITK.
Ben Rubinstein @bipr.bsky.social ML & Privacy Prof at the University of Melbourne, Australia. Deputy Dean Research. Prev Microsoft Research, Berkeley EECS PhD. @bipr on the X bird site. He/him.
Gavin Brown @gavin-brown.bsky.social Postdoc at UW CSE. Differential privacy, memorization in ML, and learning theory.
Steven Wu @zstevenwu.bsky.social Computer science professor at Carnegie Mellon. Researcher in machine learning. Algorithmic foundations of responsible AI (e.g., privacy, uncertainty quantification), interactive learning (e.g., imitation/reinforcement learning).
https://zstevenwu.com/
Gintare Karolina Dziugaite @gkdziugaite.bsky.social Sr Research Scientist at Google DeepMind, Toronto. Member, Mila. Adjunct, McGill CS. PhD Machine Learning & MASt Applied Math (Cambridge), BSc Math (Warwick). gkdz.org 
Dylan Foster 🐢 @djfoster.bsky.social Incoming Assistant Professor in EECS and Statistics at UC Berkeley.
Principal Researcher @ Microsoft Research NE/NYC. Previously @ MIT, Cornell.
AI + RL Foundations. RL Theory Lecture Notes: https://arxiv.org/abs/2312.16730
http://dylanfoster.net
Idan Attias @idanattias.bsky.social Postdoc researcher at IDEAL Institute in Chicago, hosted by UIC and TTIC.
My research interests are in machine learning theory, data-driven sequential decision-making, and theoretical computer science.
https://www.idanattias.com/
Quanquan Gu @quanquangu.bsky.social Professor @UCLA, Research Scientist @ByteDance | Recent work: SPIN, SPPO, DPLM 1/2, GPM, MARS | Opinions are my own
CSML IIT Lab @pontilgroup.bsky.social Computational Statistics and Machine Learning (CSML) Lab | PI: Massimiliano Pontil | Webpage: csml.iit.it | Active research lines: Learning theory, ML for dynamical systems, ML for science, and optimization.
Erfan Mirzaei @erfunmirzaei.bsky.social Researcher @PontilGroup.bsky.social| Ph.D. Student @ellis.eu, @Polytechnique, and @UniGenova.
Interested in (deep) learning theory and others.
https://erfunmirzaei.github.io/
Tosca Lechner @toscalechner.bsky.social Post-doctoral Fellow @ Vector Institute, Toronto
Mihai Nica @mihainica.bsky.social Mathematician working on probability and ML at U of Guelph in Canada. I also make math videos at https://youtube.com/@MihaiNicaMath
Cyrus Rashtchian @cyroid.bsky.social Researcher at Google. Improving LLM factuality, RAG and multimodal alignment and evaluation. San Diego. he/him ☀️🌱🧗🏻🏐 Prev UCSD, MSR, UW, UIUC.
Yuli Slavutsky @yulislavutsky.bsky.social Stats Postdoc at Columbia, @bleilab.bsky.social
Statistical ML, Generalization, Uncertainty, Empirical Bayes
https://yulisl.github.io/
Michael Kearns @mkearnsphilly.bsky.social CS prof at Penn, Amazon Scholar in AWS. Interested in ML theory and related topics, as well as photography and Gilbert and Sullivan. Website: www.cis.upenn.edu/~mkearns
Yuda Song @yus167.bsky.social PhD at Machine Learning Department, Carnegie Mellon University | Interactive Decision Making | https://yudasong.github.io