Ramchandran Muthukumar
Postdoctoral Researcher at UChicago Data Science Institute
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolRamchandran Muthukumar is a postdoctoral researcher and soon-to-be PhD from Johns Hopkins specializing in theoretical machine learning with a focus on adversarial robustness and exploiting structured data (sparsity, low-rank) for efficient algorithms. He has a decade of research experience spanning Johns Hopkins, Cornell, and industry-open source work with contributions to randomized sketching methods for PDE-optimization (SIAM-Opt) and a NeurIPS 2020 paper on supervised sparse coding robustness. Comfortable bridging theory and practical algorithm design, he develops tighter robustness certificates and generalization bounds by leveraging representation structure and local stability. Trained in mathematics and computer science at BITS Pilani, he combines rigorous theoretical grounding with applied collaborations across academia and national labs.
10 years of coding experience
2 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Johns Hopkins Whiting School of Engineering
Github Skills (13)
solver9
julia8
convex8
convex-optimization7
low-level6
mathematical6
modeling6
pyplot5
math4
mathematical-programming4
visualization3
python3
matplotlib3
Programming languages (2)
Github contributions (5)
ramcha24/Presolve
Sep 2016 - Aug 2017
Contributions:15 commits, 14 pushes, 1 branch in 11 months
ramcha24/ramcha24.github.io
Aug 2017 - Oct 2023
Contributions:19 pushes, 1 branch in 6 years 3 months
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