The German Conference on Pattern Recognition (GCPR) is the annual symposium of the German Association for Pattern Recognition (DAGM). It is the national venue for recent advances in image processing, pattern recognition, and computer vision.
Researcher at Google, 3D computer vision & machine learning. Previously PhD at ETH Zurich, intern at Google, Meta Reality Labs, Microsoft, MagicLeap. Migrating from x.com/pesarlin ...
Founding Director of MODEMAT. Researcher in optimization and inverse problems.
Director of Science at Amazon and Professor at OSU
https://www.aiforexecutivescourse.com/course
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
Optimisation, Riemannian manifolds, and numerics in Julia (Manifolds.jl, LieGroups.jl, Manopt.jl). Working at the Department of Mathematical Sciences, NTNU, Trondheim, Norway.
Posts mostly in English, manchmal Deutsch eller Norsk.
Machine Learning Researcher and Social Entrepreneur | Group Leader at ELLIS Institute Tübingen & Max Planck Institute for Intelligent Systems robustml.is.mpg.de | Co-Founder maddox.ai | Co-Initiator bw-ki.de | @ellis.eu scholar
Professor @Uni_WUE for Pattern Recognition at CAIDAS | working on medical data, microscopic and interventional images, and more
Democratising access to AI.
Research & code: Research director @inria
►Data, Health, & Computer science
►Python coder, (co)founder of scikit-learn, joblib, & @probabl.bsky.social
►Sometimes does art photography
►Physics PhD
Assistant Professor at Ecole Polytechnique, IP_Paris// Before: Oxford_VGG, Inria Grenoble // multimodality, genAI enthusiast // happy mum+dog_mum // opinions: mine
Assistant Professor of Radiology and Biomedical Data Science at Stanford University
Visual Inference Lab of @stefanroth.bsky.social at @tuda.bsky.social - Research in Computer Vision and Machine Learning.
See https://www.visinf.tu-darmstadt.de/visual_inference
Associate professor, SNU SLAM computer vision lidar underwater unconventional sensors
PhD Student at the Max Planck Institute for Informatics @cvml.mpi-inf.mpg.de @maxplanck.de | Explainable AI, Computer Vision, Neuroexplicit Models
Web: sukrutrao.github.io
Incoming Assistant Professor @ Aalto | Postdoc @ TU Munich
Computer Vision, Scene Graphs, Generative Models
https://www.cs.cit.tum.de/en/camp/members/azade-farshad/
Professor at University of Mannheim and Researcher at MPII
Computer scientist, currently president of FAU Erlangen-Nürnberg.
PhD student @ Uni Tübingen and IMPRS-IS, working on 3D vision
patriciagschossmann.github.io
Computational Photography Lab @ SFU
https://yaksoy.github.io/
Curious Computer Vision Enthusiast w/ @dcremers.bsky.social at @TU Munich
Munich, Germany
computer vision | TU Munich
working on 3D reconstruction, beyond-euclidean geometry, semantic segmentation
website: https://simonwebertum.github.io
Postdoc at @uniheidelberg.bsky.social in #ChinaComx working on politics in/of Chinese comics | researching intersections of state socialism, visual culture, and everyday life | book project: collective reading practices after 1949 | damianmandzunowski.com
Research Scientist Intern @ NVIDIA
PhD Student @ CVG, ETH Zurich
Prev. @ Meta Reality Labs, UC Berkeley, RWTH
Dynamic 3D Vision, NeRFs, 3DGS
tobiasfshr.github.io
Prof.@AGH_Krakow. Intersecting #neuroscience/#AI and #impact #social development.
#innovation #globalhealth All links: http://linktr.ee/alecrimi
Assistant Professor of Computer Science at TU Darmstadt, Member of @ellis.eu, DFG #EmmyNoether Fellow, PhD @ETH
Computer Vision & Deep Learning
Research in Machine Learning, Computer Vision and Geophysics.
https://www.keuper-labs.org/
Associate Professor of Applied Mathematics at @uib.cat
https://danieldauner.github.io/
PhD Student at the University of Tübingen, supervised by Andreas Geiger. I work on autonomous driving.
Prof at TUM and Imperial College London. Doing research on AI in healthcare and medicine
Ph.D. student at the computer vision group TUM @tumuenchen.bsky.social
Supervised by Prof.Cremers @dcremers.bsky.social
https://sangluisme.github.io
Infusing statistical physics with machine learning to describe molecular fluids.
PhD Candidate at UvA with Max Welling, Jan-Willem van de Meent and Bernd Ensing.
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
Machine Learning researcher at @Xaira_Thera (former @CambridgeEllis and @OxCSML) opinions expressed are my own.
I'm a PhD student in (topological) persistence theory and topological machine learning at Universitat de Barcelona.
Associate Professor of Math and Statistics at UAlbany
Researcher in computational physics,,
Scientific director of Program Inria Quadrant
2018-2022 director of Inria Nancy G-Est,
ERC GOODSHAPE-VORPALINE,
#riscv ambassador
Research Lead at @valenceai.bsky.social, Adjunct prof at @UMontreal and @Mila_quebec, interested in AI, deep learning, drug discovery, graphs, geometry, biology, chemistry, physics, philosophy, and the origin of life 🧠🦠
Aims to become a crazy scientist 👨🔬
MIT PhD Student - ML for biomolecules - https://hannes-stark.com/
Senior Staff Research Scientist, Google DeepMind
Affiliated Lecturer, University of Cambridge
Associate, Clare Hall
GDL Scholar, ELLIS @ellis.eu
🇷🇸🇲🇪🇧🇦
Scientist. Christ-follower. Prof @UPenn. Director of Folding@home. Legaly blind. Father.
(ML ∪ Bayesian optimization ∪ active learning) ∩ (drug discovery)
Researcher @valenceai.bsky.social
Details: austintripp.ca
Incoming Assistant Professor @Imperial College London. Post-doc @UniofOxford. Into Geometry ∩ Generative Models. @mila-quebec.bsky.social Affiliate member. Phd from @mila-quebec.bsky.social / McGill.
website: https://joeybose.github.io/
CTO & Co-Founder at Coefficient Bio. Ex-Prescient Design • Genentech. Advisor to Atomscale & Guide Labs
ncfrey.github.io | ncfrey.substack.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)
ML-ready datasets and benchmarks for drug discovery.
https://polarishub.io
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 」🌟
PhD @ Mila & UdeM on deep learning & graphs.
Father, husband, human, founding fellow @recursionpharma, scientific director @valencelabs, adjunct professor & senior fellow @UUtah
Industrializing scientific discovery to radically improve lives.
Powered by @recursionpharma.bsky.social
ML Intern @valence_ai | PhD student @Cambridge_Uni | ML & drug discovery | prev @IBMResearch and @imperialcollege
ML 4 drug discovery @valenceai.bsky.social
https://luis-mueller.github.io
Associate Professor at Mila. Working on Generative AI, Geometric Deep Learning for Protein Design, Multiomics
Co-founder & CSO @Entalpic | AI for materials discovery | PhD in Graph ML, ex-Mila, ex-Amazon | #AIforClimateChange, #AI4Science
Postdoc @Stanford 🇺🇸| PhD @NTUsg Singapore 🇸🇬| #ComputerScience #AI #DeepLearning #Research #GraphNNs
theoretical physical chemist, molecular modeller and chem- and bioinformatician - #AlphaFoldology enthusiast
Palacky University Olomouc, ORCID:0000-0001-9472-2589 #boardgamegeek (tweets my own) #ELIXIRCZ
Unofficial account exploring the intersection of biology, molecules, science, AI and protein folding with AlphaFold.
Developing macromolecular structure resources and tools for life science.
- Founding partner of the wwPDB.
- Manage the community-led PDBe-KB resource and the AlphaFold Protein Structure Database, a collaboration with Google DeepMind.
- Part of EMBL-EBI
RCSB PDB (RCSB.org) promotes a structural view of biology. Funded by NSF, NCI, NIAID, NIGMS, NIH, and DOE
Building bridges in the protein world 👩🏻💻
Bioinformatician at AlphaFold Database (part of PDBe)
Professor in bioinformatics, Stockholm University. Protein structure lover ( interactions predictions, evolution ..). Using machine learning as a part of AI for Sciences for halv my life. In addition to succén, I sometimes rants about sailing or skiing.
PhD student @MIT • Research on Generative Models for Biophysics and Drug Discovery
We are a global community of computational protein engineers and modelers from both academia and industry.
An @omsf.io project organized by @cdbahl.com, @sokrypton.org, and @nickpolizzi.bsky.social
https://bpdmc.org
Associate professor at ETH Zurich, studying the cellular consequences of genetic variation. Affiliated with the Swiss Institute of Bioinformatics and a part of the LOOP Zurich.
Science, music, photography, computers, VR and more...
Interested in biomolecular simulation, modelling, protein structure, drug design and AI.
Postdoctoral Research Assistant in the @gjbarton.bsky.social Group at University of Dundee
Ligand site prediction benchmark: tinyurl.com/Utges-LBS
Fragment screening sites: tinyurl.com/Utges-FRAGSYS
Ankyrin repeats: tinyurl.com/Utges-ANKS
Proud dad, structural bioinformatician, cook, birdwatcher and skater
Protein and coffee lover, father of two, professor of biophysics and sudo scientist at the Linderstrøm-Lang Centre for Protein Science, University of Copenhagen 🇩🇰
Illuminating viruses @CSSBHamburg. Check out herpesfolds.org for a comprehensive proteome-wide structural prediction database. A little zoo at home. Equal responsibility dad of three. Views own
Ramón y Cajal Junior Group Leader @BSC_CNS 🇦🇷🇪🇸🏳️🌈 ENFJ | Bioinformatics | 3DSIG Co-Chair | @fi_uner, @exactas_uba, @mpi_bpc, @embl, @dkfz alumnus | @iscb BoD | Opinions my own
Designing peptides/proteins to program biology! 🧬💻🧫 Assistant Professor at Duke | Co-Founder of Gameto and UbiquiTx | MIT SB, SM, PhD
Associate Professor at Charles University | Protein & RNA structural bioinformatics |Protein annotation (sequence & structure)
https://bioinformatics.cuni.cz/hoksza/
Scientist, #MachineLearning and #AI for Moleculear Sciences. Scuba Diver. Loves @cecclementi.bsky.social
Bioinformatics Scientist / Next Generation Sequencing, Single Cell and Spatial Biology, Next Generation Proteomics, Liquid Biopsy, SynBio, AI/ML in biotech // http://albertvilella.substack.com
De novo Protein Designer
DNA Origami wizzard
I like lifting rocks
PhD student
@TU_Muenchen
genetics/data/programming. ex-Hexagon, ex-Stanford ex-23andMe ex-TCD http://blog.booleanbiotech.com 🇮🇪
Biologist that navigate in the oceans of diversity through space-time
Protein evolution, metagenomics, AI/ML/DL
Website https://miangoaren.github.io/
CNRS scientist computational molecular biology. Mostly talking about life, travel, science and board games, unless it's something else.
Removing barriers to computational drug discovery one bit at a time. Associate Professor in Computational and Systems Biology at the University of Pittsburgh.
https://bits.csb.pitt.edu/
PhD Candidate at @NKI_nl in Structural Bioinformatics - Cancer Research | Perrakis lab |
Interest in AI | Computational Biology, Statistics, Protein Prediction & Design 🖥️🧬
AlphaBridge web server: https://alpha-bridge.eu/
PhD Candidate at Netherlands Cancer Institute〡Structural Biology〡Experimental–Computational Integration〡
Curious about AI-Integrated Biology and Synthetic Biology 🔬〡
Bioillustration using Blender🧬〡
https://beacons.ai/rborza
chemical/synthetic biologist, Luddite trying to find better ways to make molecules that do important stuff, dad, @uchicago professor of chemistry
http://www.dickinsonlab.uchicago.edu/
Structural and molecular immunology and protein biophysics at the University of Notre Dame. T cell receptors, MHC proteins, specificity, and cross-reactivity. Plus drums, odd time signatures, Iron Maiden, and much Rush. Opinions mine alone.
bmblab.nd.edu
All views and opinions expressed are my own.
Microbiology, microbiome, antimicrobial resistance. Sometimes UK politics. Head of Research of the School of Infection, Inflammation and Immunology, University of Birmingham. Also Co-Director of @target-amr.bsky.social.
Chair, Computational BIology and Medicine Program, Princess Margaret Cancer Centre, University Health Network.
Associate Professor, Medical Biophysics, University of Toronto.
Disclosures: https://github.com/michaelmhoffman/disclosure/
Interested in Structural Biology, deep learning, NextFlow, HPC, viruses, missense mutations archaea, bacteria, evolution & random quirks of nature. (Protein Cosmos feed 🧶🧬) Leads a research group & Structural biology Facility,UNSW Sydney. Opinions my own.
Chief Science and Strategy Officer, openRxiv. Co-Founder, bioRxiv and medRxiv.
Biochemist turned computational biologist and inner astronaut navigating the vastness of the protein universe using 💻. Group leader at @vibai.bsky.social and kuleuvenuniversity.bsky.social🇧🇪 Previously in🇨🇭🇩🇪🇵🇹
🌌 https://pereiralab.sites.vib.be
Professor (never Mrs./never misses) Membrane protein evolution and design. Also enzymes.
