Chaithya G R

Researcher INRIA-CEA MIND Team

Bengaluru, Karnataka, India
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Summary

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Senior
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Top School
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.
code9 years of coding experience
job2 years of employment as a software developer
bookMasters equivalence, Medical imaging, Masters equivalence, Medical imaging at University Paris Saclay
bookKendriya Vidyalaya NAL Campus
bookDoctor of Philosophy, Medical Imaging, Doctor of Philosophy, Medical Imaging at Université Paris-Saclay
bookBachelor 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
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Github Skills (130)

inverse10
python10
topological-data-analysis10
gpu10
cudnn10
fourier-transform10
convolutional-neural-networks10
signal-processing10
machine-learning-algorithms10
mri10
sparse10
uniform10
raii10
nvidia10
cuda10

Programming languages (9)

TypeScriptC++HTMLJupyter NotebookCythonPythonCudaDart

Github contributions (5)

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CEA-COSMIC/pysap-mri

Sep 2019 - Jun 2022

MRI external plugin for Python Sparse data Analysis Package
Contributions:5 releases, 65 reviews, 180 commits in 2 years 10 months
data-analysispythonsparse-dataneuroimagingsparse
CEA-COSMIC/pysap-tutorials

Jan 2020 - Jan 2022

Contributions:14 PRs, 24 pushes, 1 branch in 1 year 11 months
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