-
Queen Mary University of London
- https://omniaalwazzan.github.io/
- @AlwazzanOmnia
Tatiana Gaintseva
Atmyre
Ph.D. candidate in AI research, ML/DL teacher
Queen Mary University of London London
MingxinLiu
lmxmercy
Computational Pathology, Pathomics, Multimodal Deep Learning, Geometrical Deep Learning
Heilongjiang University Harbin
Jesús Alejandro Alzate-Grisales
jesusalzate
Hi, I'm a dedicated biomedical engineer and researcher with expertise in Machine Learning (ML), Deep Learning (DL)
@BIMCV-CSUSP, @BioAITeam Spain
Francisco Carrillo Pérez
pacocp
PhD. in Machine Learning applied to bioinformatics. Interested in Machine Learning and Deep Learning applied to biomedical problems
Stanford University Granada
Henry Senior
Delphboy
PhD Student at Queen Mary University London | Researching scene understanding, image captioning, and graph neural networks
Queen Mary University London On a computer somewhere
Amaya Gallagher-Syed
AmayaGS
I’m a biologist with a focus on deep learning applied to healthcare and autoimmune diseases.
Queen Mary University of London London
Nikita Kozodoi
kozodoi
ML scientist working on the frontier of research & business
Amazon Web Services Berlin, Germany
Kostas Georgiou
drkostas
Computer Vision Researcher & PhD Student
University of Tennessee, Knoxville
Alfredo Canziani
Atcold
Musician, math lover, cook, dancer, 🏳️🌈, and assistant professor of Computer Science at New York University
NYU New York City
Richard Chen
Richarizardd
AI for Pathology @ Harvard Medical School, Brigham and Women's Hospital
Boston, Massachusetts
Dr. Sreenivas Bhattiprolu
bnsreenu
I am a materials scientist by education and a marketing leader by profession. I am passionate about image analysis through the use of Python and AI.
ZEISS California