Explainable AI research from the machine learning group of Prof. Klaus-Robert Müller at @tuberlin.bsky.social & @bifold.berlin
Postdoc at Technical University of Denmark working on ExplainableAI.
ELLIS PhD student at TU Munich & Helmholtz AI
Generative Modeling - Optimal Transport - Representation Learning
https://lucaeyring.com/
Physicist by training, working in computational neuroscience at the @dzne.science. Interested in how neural dynamics and learning shape brain function and behavior, using modeling and data analysis.
🌍fabriziomusacchio.com
🐘mastodon.social/@FabMusacchio
PhD at TU Berlin 🇩🇪 | Master's at ETH Zurich 🇨🇭
physician-scientist, author, editor
https://www.scripps.edu/faculty/topol/
Ground Truths https://erictopol.substack.com
SUPER AGERS https://www.simonandschuster.com/books/Super-Agers/Eric-Topol/9781668067666
PhD Student @ ML Group TU Berlin, BIFOLD
Elihu Professor of Biostatistics @yalesph.bsky.social--Cancer, Infectious disease, Evolutionary biology, Fungi, sometimes running
PhD Student at Theis and Gagneur lab @TU Munich - Interested in ML, gene regulation and epigenetics 🧬. Previously Cambridge University and Heidelberg University. she/her
PhD Student in Computational Cancer Genomics Group at ETH Zurich
PhD student in NLP at ETH Zurich.
anejsvete.github.io
PhD at Schapiro lab in Heidelberg | Spatial biology | Bioinformatics | Tissue organization
Nature Portfolio’s high-quality products and services across the life, physical, chemical and applied sciences is dedicated to serving the scientific community.
Cutting-edge research, news, commentary, and visuals from the Science family of journals. https://www.science.org
PhD student in Interpretable Machine Learning at @tuberlin.bsky.social & @bifold.berlin
https://web.ml.tu-berlin.de/author/laura-kopf/
Neuroscience PhD student, Cambridge UK. Confused but excited.
"Everything around me was somebody's lifework"
👋 https://rory.bio
🔧 https://compmotifs.com/
Senior Editor @Nature for cancer and cell cycle. Views my own
PhD Student @ https://bifold.berlin/, TU Berlin.
Computational Pathology, XAI, Multimodal ML, Representation Learning.
Github: https://github.com/bifold-pathomics
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
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
PhD Student @TU Berlin @BIFOLD working on ML applications for chemistry
Group leader Research Institute of Molecular Pathology (IMP) impvienna.bsky.social in Vienna, trained at MSKCC, working on #cancer #tumorimmunology #resistance. Mentor. Mum. Views are my own.
https://www.obenauflab.com/
https://www.imp.ac.at/
ML Ph.D. Candidate @tuberlin.bsky.social and @bifold.berlin | Explainable AI, Interpretability, Efficient Machine Learning
farnoushrj.github.io
PhD Candidate in Interpretability @FraunhoferHHI | 📍Berlin, Germany
dilyabareeva.github.io
PhD Candidate. ML + Genomics
theoretical chemist and ml person 日本語おK خلض
PhD Student at the TU Berlin ML group + BIFOLD | BUA Fellow
Model robustness/correction 🤖🔧
Understanding representation spaces 🌌✨
Computation & Complexity | AI Interpretability | Meta-theory | Computational Cognitive Science
https://fedeadolfi.github.io
On the job market!
Associate professor at IT University of Copenhagen: NLP, language models, interpretability, AI & society. Co-editor-in-chief of ACL Rolling Review. #NLProc #NLP
Postdoc at UW NLP 🏔️. #NLProc, computational social science, cultural analytics, responsible AI. she/her. Previously at Berkeley, Ai2, MSR, Stanford. Incoming assistant prof at Wisconsin CS. lucy3.github.io
⛵️ Research Resident @ Midjourney
🇪🇺 Member @ellis.eu
🤖 Generative NNs, Deep Learning, ProbML, Simulation Intelligence
🎓 PhD+MSc Computer Science, MSc Psychology
🏡 https://marvin-schmitt.com
Cell Biologist. Membrane proteins, rhomboids, signalling, inflammation, cancer, unknome...
Head, Dunn School of Pathology, @UniofOxford
And other stuff
PhD at ETH Zurich, machine learning and biomedical data https://kalinnonchev.github.io
PhD student in Interpretable ML @UMI_Lab_AI, @bifoldberlin, @TUBerlin
PhD candidate in Medical Microbiology, University of Zurich | AMR evolution in the gut microbiome
So far I have not found the science, but the numbers keep on circling me.
Views my own, unfortunately.
AI @ OpenAI, Tesla, Stanford
Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Founding chairman of www.publichealthactionnetwork.org
Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI.
https://web.mit.edu/phillipi/
Strengthening Europe's Leadership in AI through Research Excellence | ellis.eu
Director, Max Planck Institute for Intelligent Systems; Chief Scientist Meshcapade; Speaker, Cyber Valley.
Building 3D humans.
https://ps.is.mpg.de/person/black
https://meshcapade.com/
https://scholar.google.com/citations?user=6NjbexEAAAAJ&hl=en&oi=ao
San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
Research Scientist at @GoogleDeepMind. Past: PhD at EPFL, intern at Google, ELLIS student Oxford
Mathematics professor at Collège de France and fellow of Trinity College Cambridge.
Intern @Google, Ph.D. Student @Cornell_CS.
Interested in machine learning, LLM, brain, and healthcare.
abehrouz.github.io
Please insert pretentious things about myself here:
PhD student in Machine Learning @ University of Cambridge | Previously MSc & Bsc @ ETH Zürich
fanconic.github.io
Cognitive scientist at Barnard College; visual categorization; EEG; eye movements; machine learning; childless cat fae; will ask to see a picture of your pet. Opinions my own. They/she. 🏳️🌈
comp neuro, neural manifolds, neuroAI, physics of learning
assistant professor @ harvard (physics, center for brain science, kempner institute) + @ Flatiron Institute
https://www.sychung.org
Assistant Professor of Computational Linguistics @ Georgetown; formerly postdoc @ ETH Zurich; PhD @ Harvard Linguistics, affiliated with MIT Brain & Cog Sci. Language, Computers, Cognition.
Postdoc at Yale | PhD in Cog Neuro (BCBL) | Interested in visual representations in natural & artificial neural networks, consciousness, & metacognition
Ph.D. Candidate at MIT | Brain and Cognitive Sciences
ckauf.com
Scientist 👩🔬 & EPFL Prof 🇨🇭 | DeepLabCut.org , 🦓 cebra.ai | neuroscience & ML 🧠 mackenziemathislab.org | ✨CSO at Kinematik.ai | occasionally 🐦⬛birds/🌱outdoors/🍣food/👠fashion
On the faculty job market!
Doing ML/DL with small data - Postdoc @PrincetonU
Making mining sustainable - VP Research @Stratum.AI
Trying to re-democratize AI
Tom Griffiths' Computational Cognitive Science Lab at Princeton. Studying the computational problems human minds have to solve.
Professor at Stanford. Psychology/Neuroscience/Data Science/AI. Books include: The New Mind Readers, Handbook of fMRI Data Analysis, Hard to Break, Statistical Thinking, and Better Code, Better Science
https://poldrack.github.io/
Asst Professor Psychology & Data Science @ NYU | Working on brains & climate, separately | Author of Models of the Mind: How physics, engineering, and mathematics have shaped our understanding of the brain https://shorturl.at/g23c5 | Personal account (duh)
@Penn Prof, deep learning, brains, #causality, rigor, http://neuromatch.io, Transdisciplinary optimist, Dad, Loves outdoors, 🦖 , c4r.io
I lead Cohere For AI. Formerly Research
Google Brain. ML Efficiency, LLMs,
@trustworthy_ml.
Researcher at Google and CIFAR Fellow, working on the intersection of machine learning and neuroscience in Montréal (academic affiliations: @mcgill.ca and @mila-quebec.bsky.social).
Director, MIT Computational Psycholinguistics Lab. President, Cognitive Science Society. Chair of the MIT Faculty. Open access & open science advocate. He.
Lab webpage: http://cpl.mit.edu/
Personal webpage: https://www.mit.edu/~rplevy
Senior research scientist at Los Alamos National Laboratory. Former UCL, UTexas, Alan Turing Institute, Ellis EU. CogSci, AI, Comp Neuro, AI for scientific discovery https://bradlove.org
Assistant Professor / Faculty Fellow @nyudatascience.bsky.social studying cognition in mind & brain with neural nets, Bayes, and other tools (eringrant.github.io).
elsewhere: sigmoid.social/@eringrant, twitter.com/ermgrant @ermgrant
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
asst prof of computer science at cu boulder
nlp, cultural analytics, narratives, communities
books, bikes, games, art
https://maria-antoniak.github.io
He/Him. Evolution and Bioinformatics. Posts mine alone, in English (mostly) & French. Chair of @dee-unil.bsky.social, Prof at @fbm-unil.bsky.social, group leader at @sib.swiss. PI of @bgee.org
🦣 Main account: https://ecoevo.social/@marcrr
Chief Science and Strategy Officer, openRxiv. Co-Founder, bioRxiv and medRxiv.
I develop mechanistic machine learning tools for single-cell and spatial omics data to understand the regulatory patterns underlying human disease dynamics.
ai4biomedicine.org
Computational Biologist, Head of research @ebi.embl.org, part-time
Heidelberg University, codirector DREAM challenges. For group's activities, see @saezlab.bsky.social
Postdoc fellow @ Stanford & Gladstone Institutes
Core team @scverse-team.bsky.social
Bringing the single-cell genomics in human complex trait genetics
https://emdann.github.io/
Account of the Saez-Rodriguez lab at EMBL-EBI and Heidelberg University. We integrate #omics data with mechanistic molecular knowledge into #opensource #ML methods
Website: https://saezlab.org/
GitHub: https://github.com/saezlab/
Single Cell/Spatial. Cancer Immunology. Outdoor activities.
Core developer @scverse.bsky.social.
Working in Clinical Bioinformatics at Boehringer Ingelheim.
Formerly PhD student at Medical University of Innsbruck.
My private account.
github.com/grst
DeepMind Professor of AI @Oxford
Scientific Director @Aithyra
Chief Scientist @VantAI
ML Lead @ProjectCETI
geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst.
Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org
I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
Assistant Professor at @EPFL in Computer Science and Life Sciences. PostDoc at @Genentech and @Stanford. PhD at @ETH and @BroadInstitute.
www.aimm.epfl.ch
Prof at TU Nuremberg, PI at Helmholtz AI, Fellow at Zuse School for reliable AI, Branco Weiss Fellow, ELLIS Scholar.
Prev: TUM, Cambridge CBL, St John's College, ETH Zürich, Google Brain, Microsoft Research, Disney Research.
https://fortuin.github.io/
Where the future begins. 🚀🔬 One of the world’s leading universities for technology & natural sciences. Posts in both English and German.
www.ethz.ch
Research Scientist Meta/FAIR, Prof. University of Geneva, co-founder Neural Concept SA. I like reality.
https://fleuret.org
Postdoc at ETH. Formerly, PhD student at the University of Cambridge :)
PhD student at ETH Zürich and MPI Tübingen. Student Researcher at Google DeepMind.
No second-hand opinions. They are absolutely my own :)
PhD student in machine learning at ELLIS Institute Tübingen, MPI-IS and ETH. Prev: MSc in CS at ETH
Dedicated to drug discovery, enthralled by science. 5 kids. She. SAB Recursion. Founder SyzOnc. Lab at Broad Institute. Opinions my own.
Professor at the NYU School of Medicine (https://yanailab.org/). Co-founder and Director of the Night Science Institute (https://night-science.org/). Co-host of the 'Night Science Podcast' https://podcasts.apple.com/us/podcast/night-science/id1563415749
Scientist developing AI for oncology. Division head at the German Cancer Research Centre DKFZ. Prof at the University of Heidelberg, Germany. Previously at EMBL-EBI and Wellcome Sanger Institute. Alumnus of ETH Zurich.
Professor, University of Lausanne 🇨🇭 and Ludwig Institute for Cancer Research
President Elect, European Association for Cancer Research
Mentor, Teacher, Advocate, Mum
@joycelab.bsky.social
Cancer genomics, cellular plasticity, tumour microenvironment, digital pathology | Associate Professor and Group Leader @UCL | PhD from @EMBL | opinions my own
https://secrierlab.github.io/
Machine learning for molecular biology. ELLIS PhD student at Fabian Theis lab. Prev. intern @genentech.bsky.social & @novartis.bsky.social, MSc @icepfl.bsky.social
Developing data intensive computational methods • PI @ Seoul National University 🇰🇷 • #FirstGen • he/him • Hauptschüler
Associate Prof @HarvardMed. Microbial evolution, antibiotic resistance, mobile genetic elements, algorithms, phages, molecular biotech, etc. Basic research is the engine of progress.
baymlab.hms.harvard.edu
International Conference on Learning Representations https://iclr.cc/
