Maciej A. Mazurowski

Professor of Computer Vision, @BristolUni. Senior Research Scientist @GoogleDeepMind - passionate about the temporal stream in our lives. http://dimadamen.github.io

Engineer: mainly robots and computer vision stuff. Developer advocate for ROS at Open Robotics. Open Source Hardware Association board member. Lover of rats and plants.

Computer scientist on a life-science mission. Working on pushing bioimage analysis, computer vision, AI/ML methods for the life sciences. Love running and pottery.

anti-hype. i paint and do computer vision research for satellite image datasets https://zhanpeifang.com/

Official account for the IEEE/CVF International Conference on Computer Vision. #ICCV2025 Honolulu 🇺🇸 Co-hosted by @natanielruiz @antoninofurnari @yaelvinker @CSProfKGD

Research Scientist@Google DeepMind Assoc Prof@York University, Toronto mbrubake.github.io Research: Computer Vision and Machine Learning, esp generative models. Applications: CryoEM (cryoSPARC), Statistics (Stan), Forensics, and more

Official account for IEEE/CVF Conference on Computer Vision & Pattern Recognition. Hosted by @CSProfKGD with more to come. 📍🌎 🔗 cvpr.thecvf.com 🎂 June 19, 1983

Biomedical Computer Vision & Language Models, scads.ai / Leipzig University, also NFDI4BIOIMAGE, NEUBIAS/GloBIAS, GPUs, AI, ML 🔬🖥️🚀 views:mine

Associate Professor of English and Creative Writing at Dartmouth College. Author of The Birth of Computer Vision (Minnesota), Critical Digital Humanities (Illinois), and co-author of Moonbit (punctum) and Perceptron (punctum). American Literature, ML/AI/DH

DH Prof @URichmond. Exploring computer vision and visual culture. Ideas for the Association for Computers & the Humanities @ach.bsky.social and Computational Humanities Research Journal? Please share!

Principal Scientist at Naver Labs Europe, Lead of Spatial AI team. AI for Robotics, Computer Vision, Machine Learning. Austrian in France. https://chriswolfvision.github.io/www/

Screens lets you seamlessly control your computer from anywhere using your iPhone, iPad, Mac, or Vision Pro. #screensharing #vnc #remotedesktop https://screens.app

Professor of Computer Vision/Machine Learning at Imagine/LIGM, École nationale des Ponts et Chaussées @ecoledesponts.bsky.social Music & overall happiness 🌳🪻 Born well below 350ppm 😬 mostly silly personal views 📍Paris 🔗 https://davidpicard.github.io/

Researching computer vision stuff at Stack AV in Pittsburgh. Photography @ishankhatri.com

Prof at Georgia Tech https://faculty.cc.gatech.edu/~judy/ Machine Learning and Computer Vision Researcher

We’re Edovia, creators of Screens – the app that lets you seamlessly control your computer from anywhere with your iPhone, iPad, Mac, or Vision Pro. https://edovia.com

Theoretical Neuroscience, Deep Learning, & the space between. Assistant Professor, Birla Institute of Technology & Science. http://brain.bits-hyderabad.ac.in/venkat/

Software Engineer at Posit PBC. I mostly post about R, Python, and Deep Learning. Github: https://github.com/t-kalinowski

Mom, Data Science/Machine Learning/Deep Learning/NLP, Teaching Fellow @ Harvard, Kaggle Competition Master https://kaggle.com/rashmibanthia ✨ Try customized Kaggle Feed ➡️ https://bsky.app/profile/did:plc:mbjdssrrxzllb2g2rq7px4pq/feed/aaadft2egbdoe

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.

Cortical surface modelling and interpretable/explainable #AI, geometric deep learning #neuroscience. Open science: HCP, dhcp, UKBiobank

UBC Computer Science; physics-based models of human movement; deep reinforcement learning; animation; robotics

Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.

Le plus grand centre de recherche universitaire en apprentissage profond — The world's largest academic research center in deep learning.

⛵️ Research Resident @ Midjourney 🇪🇺 Member @ellis.eu 🤖 Generative NNs, Deep Learning, ProbML, Simulation Intelligence 🎓 PhD+MSc Computer Science, MSc Psychology 🏡 https://marvin-schmitt.com

Software Developer learning #Vue & deep diving in #javascript + #TypeScript, local @freeCodeCamp Organizer (Atl), Tech Public Speaker. Comments/Expressions === mine.

@Penn Prof, deep learning, brains, #causality, rigor, http://neuromatch.io, Transdisciplinary optimist, Dad, Loves outdoors, 🦖 , c4r.io

AI for climate change and biodiversity. PhD. Co-founder @climateainordics.com -- Head of deep learning research at RISE in Sweden. Love trail running and snowboarding. See feed on AI for climate change. -- https://climateainordics.com , https://ridr.se

Recovering infosec engineer, machine learning for infosec, sailor, news junkie, threat intel consumer, deep statist. All opinions are mine. Also see my account on Mastodon/Fediverse, @davemwilburn@infosec.exchange

Founding Engineer @stackblitz.com • Lead for WebContainer and @bolt.new • JavaScript stuff • Node.js • Rust 🦀 • WebAssembly • Deep Learning 🤖 • Amateur Athlete • Dad https://learn-wasm.dev https://bolt.new https://stackblitz.com https://webcontainer.io

🎓 CS Prof at UCLA 🧠 Researching reasoning and learning in artificial intelligence: tactable deep generative models, probabilistic circuits, probabilistic programming, neurosymbolic AI https://web.cs.ucla.edu/~guyvdb/

AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity. https://glouppe.github.io

Marrying classical CV and Deep Learning. I do things, which work, rather than being novel, but not working. http://dmytro.ai

ML Research @ Apple. Understanding deep learning (generalization, calibration, diffusion, etc). preetum.nakkiran.org

My research interests are signal processing, deep learning, and magnetic resonance imaging (MRI). I received my Ph.D. in Pattern Recognition and Intelligent Systems from the University of Chinese Academy of Sciences (UCAS), advised by Prof. Dong Liang.

Junior M.D and PhD student entering the exciting world of Cardiac Magnetic Resonance Imaging

I create educational content on foundational Mathematics, Physics, and Python programming -- viewed through the lens of Signal Processing and Magnetic Resonance Imaging (MRI).

社会人30age 鹿児島住み 近々東京に引っ越す予定🗓️ 前 グリース製造業務（ウレア、リチウム、加工油） 前 半導体設備メンテナンス（◯セラ） 現 特定医療機器メンテナンス業務 US（ウルトラサウンド） CT（Computed Tomography） MRI（Magnetic Resonance Imaging）

Magnetica Ltd is an Australian #medtech company specialising in dedicated compact Magnetic Resonance Imaging (#MRI) systems, sub-systems and accessories.

Since 1942, the Canadian Association of Medical Radiation Technologists is the national professional association and certifying body for radiological, nuclear medicine and magnetic resonance imaging technologists and radiation therapists for 12k+ members.

Global industry leaders in Nuclear Magnetic Resonance rock core analysis for the energy sector.

magnetic resonance imaging, pulse sequence design, and deep learning

Journal of Magnetic Resonance Imaging

Postdoctoral researcher (PhD) at @isnlab.bsky.social, University Medical Centre Hamburg Eppendorf. Investigating how movement and exercise modulate pain using functional magnetic resonance imaging.

Associate Professor of Radiology and Neurology at New York University (NYU) Grossman School of Medicine and NYU Langone Health. Associate Editor for the journal 'Brain Communications'. Research area: brain imaging of concussion, MS and aging/AD.

Research Engineer @Inria, Empenn team. Interested in Magnetic Resonance Imaging, medical imaging data management, sharing and reuse, FAIR principles, reproducibility

Postdoctoral Neuroscientist https://www.xcorominasteruel.com Danish research center for magnetic resonance (DRCMR) https://www.drcmr.dk/xavi Combining imaging with brain stimulation TMS,EEG,MRI,tCS,TUS.

Scientist Magnetic Resonance Imaging, Prof at TH Ingolstadt. Mom of 2. She/her.

Pioneer in dynamic magnetic field monitoring for Magnetic Resonance Imaging (MRI) | Next generation of MR head coils | https://skope.swiss/

Co-Director of the Center for Advanced MR Imaging and Spectroscopy, Research Assistant Professor of Radiology, and Member of the Robust Methods for Magnetic Resonance Group at the University of Pennsylvania.

Associate Professor for Biomedical Magnetic Resonance @TU Munich. Interested in novel imaging methods (www.schillinglab.com)

Equation loving Magnetic Resonance Imaging (MRI) scientist and pre-developer at Siemens Healthineers.

High Resolution Magnetic Resonance Imaging | Github → http://github.com/ofgulban Youtube → http://youtube.com/@ofgulban Blog → http://thingsonthings.org Art → http://behance.net/ofgulban

Magnetic Resonance Imaging Technologist by profession. Loves dabbling in travel, prompt engineering , politics and disruptive technologies. He/Him/His #blacksky #atlsky #BlackBankingMatters #blerd #bibliophile #BlackAngst #BlackExcellence #WinWithBlackMen

Cardiologist and researcher, in cardiovascular magnetic resonance imaging, at the University of Minnesota

AI researcher currently working for the Reasoning and Learning Lab @ Linköping University. Spend most of my time building multilingual foundation models for the Germanic languages through the TrustLLM EU Horizon project 🇪🇺

Senior researcher @ UTN👩‍🔬 | Multi-Robot Systems 🤖 | Robot Learning | Foundation Models in MRS | she/her

Achira is building atomistic foundation simulation models to power the future of drug discovery. http://achira.ai

Applied Research Manager, Bio-Foundation Models at @NVIDIA. Biophysics and machine learning. Opinions are my own. She/her. https://michellelynngill.com

IMPRS-IS PhD Student with Zeynep Akata and Matthias Bethge at the University of Tübingen and Helmholtz Munich, working on continually adapting foundation models.

Ph.D. Student at Carnegie Mellon, Student Research at Google Formerly Applied Science Intern Amazon, Undergrad at Delhi Technological University 📈 Foundation Models for Structured Data (Time Series, Tabular), applications in healthcare.

We are a 501(c)(3) headquartered in Austin, TX. We make math models, build Math Rooms, and support educators. We want people to love and learn math! 🌐 mathhappens.org

A series of state-of-the-art, open source and transparent foundation models for European languages

Research Engineer, Foundation Models Open Source advocate Mila - Quebec AI Institute

engineer @ waymo, xoogler make models go brr & all things data 🎸 → @ratan.bsky.social

Full Professor of ML & #AutoML at Leibniz University Hannover. #ERC Grant Holder. Interested in: AutoML, ML, RL, iML, LLMs, foundation models and a lot more ;-)

Astronomy and astrophysics sprinkled with Deep Learning... or the other way around ! PhD student working on Foundation Models for Astronomy. #galaxy

The PolymathicAI Collaboration is building generalist foundation models for science. https://polymathic-ai.org/

🇪🇺 ELLIOT is a Horizon Europe project developing the next generation of open and trustworthy Multimodal Generalist Foundation Models — advancing open, general-purpose AI rooted in European values. 🤖📊

Research Scientist @ IBM Research. Postdoc @ Berkeley AI. PhD @ Tel Aviv University. Working on Compositionality, Multimodal Foundation Models, and Structured Physical Intelligence. 🔗 https://roeiherz.github.io/ 📍Bay area 🇺🇲

Working on neuro-foundation models Postdoc at Columbia | ML PhD, Georgia Tech | https://www.mehai.dev/

Foundation models | instruction tuning | comp cogsci @mit-ibm @ibm-research @redhat

🌏🌱 trying to make Geospatial Foundation Models work Research Fellow at @ESA PhiLab Previously at @KULeuven, @Cnam PhD in Data Science at @Sapienza website: https://sites.google.com/uniroma1.it/valeriomarsocci #AI4EO #GeoAI #SSL4EO

Tracking the emerging scene of geospatial foundation models: www.geospatial.fm.

https://ollieliu.com/; oliver irl phd'ing in ml@usc; prev. ml@cmu, msr multimodal foundation models, ai4sci, decision making

Thanks for coming to “Foundation Models for Biological Discoveries” (FMs4Bio) @ AAAI 2025!

AI Architect, Core AI, IBM | Agentic AI & AgentOps - find my posts on LinkedIn

Foundation Models for Generalizable Autonomy. Assistant Professor in AI Robotics, Georgia Tech prev Berkeley, Stanford, Toronto, Nvidia

PhD student @ImperialCollege. Research Scientist Intern @Meta prev. @Cohere, @GoogleAI. Interested in generalisable learning and reasoning. She/her lisaalaz.github.io

English PhD turned Machine Learning Researcher. I medicate my imposter syndrome with cold brews. Current: Foundation Models @ Apple Prev: LLMs/World Models @ Riot Games RecSys @ Apple Seattle -> NYC 🏳️‍🌈

Machine Learning Researcher (Post-doctoral) at the Connected Politics Lab and the School of Computer Science (University College Dublin). www.jihedncib.net

Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein

Stanford Professor | Computational Health Economics & Outcomes | Fair Machine Learning | Causality | Statistics | Health Policy | Health Equity drsherrirose.org Lab manual: stanfordhpds.github.io/lab_manual Personal account

Prof @ School of Data Science, University of Virginia. Formerly at IU. Networks, data science, and machine learning. https://yyahn.com 🚲🚲🚲

Machine Learning engineer @planet. Mentor with Frontier Development Lab. Previously at Dropbox & Google. Started coworking. Interests: Machine Learning, space, Earth Observation, VR. http://codinginparadise.org Twitter: @bradneuberg

Tech shitposts Boston // Athens Coder, writer, weightlifter, metal dive bar enthusiast

Parent, spouse, Australian, Professor of Machine Learning in Oxford. Long Covid, trans rights, music, reggae, AI must be good for humans, https://www.robots.ox.ac.uk/~mosb

Professor of Machine Learning, University of Cambridge, academic lead of ai@cam, Accelerate Science, author of The Atomic Human, proceedings editor for PMLR.

Genomics, Machine Learning, Statistics, Big Data and Football (Soccer, GGMU)

product-focused machine learning engineer. broadly curious; amazed by the effectiveness of simple ideas. jeremyjordan.me

he/him; Protocols, platforms, and machine learning https://blento.ngerakines.me/

Founder @ ??? Ex-Machine Learning Engineer @ FAANG. Researched DeepRL+Affective Computing @usc

Code | Test | Deploy | Get paged Data streaming, Machine Learning and AI app intensive Systems

I’m not like the other Bayesians. I’m different. Thinks about philosophy of science, AI ethics, machine learning, models, & metascience. postdoc @ Princeton.

Machine Learning Librarian at @hf.co

Data Science, Causal Inference, Economics, Statistics and Machine Learning Two joys in life: [1] Learning something interesting about the world [2] Telling people about it Data Science @OpenAI

Professor a NYU; Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate. http://yann.lecun.com

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).

Research, algorithmic art & music, machine learning, anti-bias in AI data. #LongCovid research & advocacy @patientled.bsky.social.

Eclectic. Curious about machine learning, tech history, design, HCI and biomimicry.