Mardava Gubbi

Postdoctoral Data Scientist

Dublin, California, United States
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Summary

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Senior
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Top School
Mardava Gubbi is a postdoctoral data scientist at Johnson & Johnson with nine years of experience applying deep learning and computer vision to healthcare. He earned a PhD from Johns Hopkins, where his PULSE Lab research combined robotics, photoacoustic imaging, and ML to achieve sub-millimeter real-time tracking of surgical tool tips and published extensively as a first author. Earlier, he led flight software development at Team Indus for a lunar mission, building CI frameworks, processor-in-loop simulations, and autonomous descent software—experience that informs his systems-minded approach to medical AI. Mardava is skilled at moving research into practical, testable systems and mentoring interdisciplinary teams, and he has a track record of reducing clinical risk through algorithmic and sensing innovations. Notably, his work predicts tool detection rates to guide both cost-effective device design and safer clinical workflows.
code9 years of coding experience
job10 years of employment as a software developer
bookIndian Institute of Technology Madras
bookJohns Hopkins University
book12th Standard Science, 12th Standard Science at Deeksha Centre for Learning P.U. College
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Github Skills (2)

vim2
neovim2

Github contributions (5)

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mrdv-rjgpl/dotvim

Jun 2017 - Feb 2021

Contributions:30 commits, 1 PR, 45 pushes in 3 years 9 months
dotfilesneovimvim
mrdv-rjgpl/makefile_tutorial

Jul 2017 - Oct 2017

Contributions:17 commits, 25 pushes, 1 branch in 2 months
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