Gavin Mischler is a PhD candidate in Electrical Engineering at Columbia University conducting interdisciplinary research in the Neural Acoustic Processing Lab that bridges neuroscience, machine learning, and biology to model how language and sound are represented in the auditory cortex. With nine years of experience spanning academic research, medical-device algorithm development, and quant trading, he blends rigorous signal-processing and statistical expertise with practical product-minded engineering. His work includes developing low-cost smartphone-based OAE hardware for global health, a patent-driven algorithm for tachycardia detection at Medtronic, and data-driven market prediction prototypes at Barclays. Comfortable both in the lab and in applied engineering settings, he seeks to reveal how bottom-up sensory inputs and high-level cognition jointly shape auditory perception.
9 years of coding experience
4 years of employment as a software developer
Johns Hopkins University
MS/PhD, Electrical Engineering, 4.0, MS/PhD, Electrical Engineering, 4.0 at Columbia University in the City of New York
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