Vinod Subramanian is a Senior Research Scientist with a decade of experience building robust deep learning models for audio and music information retrieval. With a PhD from Queen Mary University of London and prior training in Music Technology from Georgia Tech, he blends rigorous research with practical DSP and product-facing experience at companies like Canary Speech and Bose. His work centers on diagnosing weaknesses in neural models and designing defenses that improve reliability in real-world audio tasks, including drum transcription benchmarking at ROLI. Based in New York, he bridges academic research and deployed systems, uniquely combining signal-processing intuition with modern ML robustness techniques.
10 years of coding experience
4 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Master’s Degree Music Technology, Master’s Degree Music Technology at Georgia Institute of Technology
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Queen Mary University of London
Contributions:32 pushes, 1 branch in 1 year 1 month
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Vinod Subramanian - Senior Research Scientist at Canary Speech