Varun Kelkar is a research scientist with a decade of experience at the intersection of machine learning and computational imaging, now advancing algorithmic systems at Analog Devices' Analog Garage. He holds a PhD from UIUC and has led generative-model-based reconstruction and robust evaluation frameworks for accelerated MRI and medical imaging in collaboration with the US FDA, with publications in ICML, IEEE Transactions, SPIE and a Nature Photonics contribution on computational microscopy. Varun has a track record of translating physics-aware forward models into algorithms that improve 3D acquisition speed by orders of magnitude and mitigate hallucination artifacts in learned reconstructions. Equally at home in industry and academia, his background spans ToF 3D imaging, compressed sensing for noisy real-world signals, and practical system implementation from internships to federal collaborations.
10 years of coding experience
6 years of employment as a software developer
Indian Institute of Technology Madras
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at University of Illinois Urbana-Champaign
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Varun Kelkar - Research Scientist at Analog Devices