Bhavya Vasudeva
Graduate Research Assistant
Los Angeles, California, United States
Summary
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Senior🎓
Top SchoolBhavya Vasudeva is a CS PhD candidate at USC specializing in theoretical and empirical foundations of deep learning, with research focused on optimization, generalization, robustness to distributional shift, and faithful abstractions of model behavior. Advised by leaders in the USC theory group and collaborating with researchers at Harvard and NTT, she blends rigorous theory with practical experiments to make ML systems more trustworthy. Her background includes deep metric learning and GAN-based MRI reconstruction from IIT Roorkee and visiting research at ISI Kolkata, reflecting a strong applied signal-processing foundation. With eight years of experience spanning academic internships and teaching machine learning theory courses, she brings both mentorship and hands-on research expertise. Notably, she has worked across international labs—bridging industry research at NTT and PHI-affiliated groups with academic theory—positioning her at the intersection of practical systems and provable understanding.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Southern CaliforniaIndian Institute of Technology RoorkeeScience, 96.6, Science, 96.6 at DAV Public School, Amritsar
English, Hindi, PunjabiGithub contributions (5)
estija/RISC
Oct 2017 - Aug 2020
Contributions:31 commits, 29 pushes, 1 branch in 2 years 10 months
puneesh00/LoOp
Sep 2020 - Oct 2020
Contributions:70 commits in 1 month
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