Vishwesh Ramanathan
Research Machine Learning Scientist at Layer 6 AI
Chennai, Tamil Nadu, Canada
Summary
👤
Senior🎓
Top SchoolVishwesh Ramanathan is a Research Machine Learning Scientist and PhD candidate at the University of Toronto specializing in AI-driven digital pathology to improve cancer risk prediction and reduce misdiagnoses. With nine years of experience spanning industry and research, he applies deep learning, computer vision, and multimodal modelling—integrating tissue images, genomics, and clinical data—to uncover insights beyond current cancer literature. His work spans self- and weakly-supervised learning, segmentation, graph representation learning, and recent experiments with large language models, and has been published in top AI venues. He has practical experience translating models to production-grade analytics from roles at Layer 6 AI, American Express, and Spoonshot. Known for close clinician collaborations, he focuses on interpretable models that can inform treatment decisions rather than just predictive accuracy. Based in Chennai and Canada, he blends rigorous engineering with cross-disciplinary communication to move research toward real-world healthcare impact.
9 years of coding experience
Indian Institute of Technology MadrasDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Toronto
Github Skills (18)
medicine10
nrrd10
medical10
nifti9
dicom9
python8
deep-learning8
machine-learning8
pytorch8
image-processing8
medical-image-processing7
wsd7
histopathology6
wsi6
iterator5
Programming languages (2)
Github contributions (5)
Vishwesh4/Everybody-dance-now
Nov 2019 - Nov 2021
Contributions:11 commits, 9 pushes, 1 branch in 1 year 11 months
Vishwesh4/TrainerCode
Jun 2022 - Dec 2022
Contributions:24 commits, 27 pushes, 1 branch in 6 months
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