Summary
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.
9 years of coding experience
10 years of employment as a software developer
Indian Institute of Technology Madras
Johns Hopkins University
12th Standard Science, 12th Standard Science at Deeksha Centre for Learning P.U. College