Chaithya G R is a researcher at the INRIA-CEA MIND team with nine years of experience applying signal processing and physics-informed deep learning to medical imaging problems. With a PhD focus on joint optimization of acquisition and reconstruction, he blends theoretical rigor with practical expertise in MRI, compressed sensing, and electron microscopy imaging. His background spans hardware architecture at NVIDIA and brain spectroscopy research, giving him a rare cross-disciplinary view from GPU memory systems to clinical imaging pipelines. Based in Bengaluru and affiliated with CEA Paris-Saclay, he’s driven to translate advanced models into medical applications while maintaining an active interest in computer architecture. A high academic performer (9.96/10 BTech) who shifted from sparse modelling in speech to cutting-edge imaging research, he brings both depth and breadth to imaging-centric ML challenges.
9 years of coding experience
2 years of employment as a software developer
Masters equivalence, Medical imaging, Masters equivalence, Medical imaging at University Paris Saclay
Kendriya Vidyalaya NAL Campus
Doctor of Philosophy, Medical Imaging, Doctor of Philosophy, Medical Imaging at Université Paris-Saclay
Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, 9.96/10.0, Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, 9.96/10.0 at National Institute of Technology Karnataka
Contributions:14 PRs, 24 pushes, 1 branch in 1 year 11 months
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