Sahely Bhadra
Associate Professor
Kerala, India
Summary
👤
Senior🎓
Top SchoolSahely Bhadra is an Associate Professor at IIT Palakkad with nine years of experience bridging machine learning, optimization, and bioinformatics. Her research focuses on kernel learning, robust optimization and learning from noisy or missing data, with practical contributions to kernel completion and label-noise correction developed during postdoctoral work at Aalto, Max Planck, and Northeastern. She has a strong theoretical background from a PhD at IISc on robust SVM formulations and has translated that theory into algorithms with provable guarantees and real-world applicability. An experienced educator, she regularly teaches machine learning and programming courses and supervises student research projects. Sahely is proficient in C, MATLAB and Python and has applied her methods to biological datasets while remaining eager to work with new data modalities. A less obvious strength is her track record of turning difficult combinatorial robustness problems into tractable convex or approximation algorithms that perform well empirically.
9 years of coding experience
9 years of employment as a software developer
Indian Institute of Science (IISc)B.Tech, Information TechnologY, B.Tech, Information TechnologY at University of KalyaniHigher Secondary, Science, Higher Secondary, Science at Bethune College
English
Github Skills (2)
julia4
flux3
Programming languages (2)
Github contributions (5)
sahelybhadra/sahelybhadra.github.io
Jul 2018 - Nov 2024
Contributions:23 pushes in 6 years 5 months
aalto-ics-kepaco/MKC_software
Oct 2016 - Jun 2019
Contributions:12 pushes, 1 branch in 2 years 8 months
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