Postdoctoral Research Fellow at Icahn School of Medicine at Mount Sinai
New York, New York, United States
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Summary
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Joseph Colonel is a postdoctoral researcher and machine learning engineer with nine years of experience specializing in audio, speech, and music technologies. He holds a PhD in Computer Science from Queen Mary University of London and applies deep learning, differentiable signal processing, and neural audio synthesis to practical problems in healthcare, HCI, and digital music. Currently at Mount Sinai, he develops NLP and ASR models to detect cognitive impairment in older adults, bridging clinical impact with advanced research. His industry stints at iZotope and Yamaha highlight a track record of shipping novel models for intelligent audio production and controllable singing synthesis. Early experience in datacenter strategy and engineering at Citi and an MEEE from The Cooper Union give him a rare blend of systems thinking and rigorous signal-processing foundations. Colleagues describe him as interdisciplinary and product-minded, able to translate cutting-edge research into real-world prototypes and cross-domain collaborations.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering (B.E.), Electrical and Electronics Engineering, Bachelor of Engineering (B.E.), Electrical and Electronics Engineering at The Cooper Union for the Advancement of Science and Art
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Queen Mary University of London
Contributions:18 commits, 17 pushes, 2 branches in 1 year 4 months
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Joseph Colonel - Postdoctoral Research Fellow at Icahn School of Medicine at Mount Sinai