Associate Professor in AI and academic lead for SussexAI. Bayesian ML for medical imaging, computer vision & environmental monitoring.
Lecturer in Computer Vision at University of Sheffield | Robust&Trustworthy AI for healthcare
https://cherise215.github.io/
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
Assistant Professor Uni Lucerne studying AI for medical data analysis (http://mlmia-unitue.de) 🤖👩⚕️
SciPy 2026 Conference for Scientific and Technical Computing topics in Python. Tutorials July 13-14, Conference July 15-17, Sprints July 18-19.
Research Scientist at GDM. Statistician. Mostly work on Responsible AI. Academia-industry flip-flopper.
Machine learning, environmental modeling, sustainability, robotics
Professor @UCL
He/him
Conference for deep learning methods for medical image analysis, bringing clinicians, researchers and industry together for in depth discussion and exchange of ideas
International Conference on Learning Representations https://iclr.cc/
Computer science, math, machine learning, (differential) privacy
Researcher at Google DeepMind
Kiwi🇳🇿 in California🇺🇸
http://stein.ke/
Computer vision/AI at anam.ai
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/
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
Blog: https://argmin.substack.com/
Webpage: https://people.eecs.berkeley.edu/~brecht/
Secular Bayesian.
Professor of Machine Learning at Cambridge Computer Lab
Talent aficionado at http://airetreat.org
Alum of Twitter, Magic Pony and Balderton Capital
Proud dad. PhD in Medical Imaging. Passionate European. Austrian in Greece.
Head of Ultrasound group at imfusion.com, bringing intra-operative 3D ultrasound to the next level.
Personal website: www.zettinig.eu
Instructor @MGHNeurology/@harvardmed; Life-span neuroimage analysist; Passionate to #translate brain health, methods & #AI to the clinic #scicom
Doing research in 3D computer vision!
Assist. Prof. @UvA Amsterdam | Prev. ETH Zurich | TUM
Assistant Professor of Computing and Software Systems, UW Bothell
Previously UCL and University of Tübingen
https://msayhan.github.io/
Husband, Actor, Activist, Uncle George to the Internet 🖖
AI accountability, audits & eval. Keen on participation & practical outcomes. CS PhDing @UCBerkeley.
Die Carl-Zeiss-Stiftung ist eine wissenschaftsfördernde Stiftung. Wir fördern Forschung und Lehre in den MINT-Disziplinen Mathematik, Informatik, Naturwissenschaft und Technik.
Impressum: https://www.carl-zeiss-stiftung.de/impressum
👁️🧠🖥️🧪🤖 Associate Professor in @ucsb-cs.bsky.social and Psychological & Brain Sciences at @ucsantabarbara.bsky.social. PI of @bionicvisionlab.org.
#BionicVision #Blindness #LowVision #VisionScience #CompNeuro #NeuroTech #NeuroAI
the treasure is not the treasure
map.simonsarris.com
Professor of Life Science Informatics and Visualization at the University of Bonn. Opinions are my own.
ImFusion is the ideal partner to address challenging problems requiring innovative computational approaches. We are an ISO 13485 certified company offering consulting, R&D and software solutions in advanced medical image computing and computer vision.
Associate prof @ University of Twente. Machine learning in medical imaging
Prof @HelmholtzMunich, TUM, King’s and CTO/CSO @XRnostics
Machine Learning in Biomedical Imaging
posts my own
linkedin.com/in/juliaschnabel
Computer Scientist. Researcher on Medical Image Analysis. Dad. He/His. 🇨🇱 in 🇬🇧
Father of three, ultrasound imaging researcher by day, amateur barista by passion. A runner at heart and an eternal wannabe musician.
Cortical surface modelling and interpretable/explainable #AI, geometric deep learning #neuroscience. Open science: HCP, dhcp, UKBiobank
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.
Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
Prof at TUM and Imperial College London. Doing research on AI in healthcare and medicine
👁️🧠🖥️🧪🤖 What would the world look like with a bionic eye? Interdisciplinary research group at UC Santa Barbara. PI: @mbeyeler.bsky.social
#BionicVision #Blindness #NeuroTech #VisionScience #CompNeuro #NeuroAI
2xDad, DL practitioner, real-time computing fanatic, Prof. at AIBE, FAU Erlangen, Reader at DoC, Imperial College London, advisor at ThinkSono, former chef
Associate prof at DIKU UCPH; Researcher at NRU Rigshospitalet; interested in neuroimaging, MRI/PET, data sharing/BIDS, motion correction, bias and fairness in ML
Professor of Data Science @ University of Tübingen, Director of Hertie AI (www.hertie.ai) and Speaker of ML4Science (www.machinelearningforscience.de)
I love large biomedical data.
computational neuroscientist by training, philosopher at heart
studying visual perception across scales, hierarchies, and systems
postdoc @uni tübingen
PhD student with Christian F. Baumgartner | IMPRS-IS scholar | University of Tübingen and University of Lucerne | Uncertainty quantification and machine learning in medical imaging |
Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
official Bluesky account (check username👆)
Bugs, feature requests, feedback: support@bsky.app
