Abhinav Uppal is a PhD candidate and graduate student researcher at UC San Diego specializing in wearable sensing and modulation of brain–body rhythms captured from unobtrusive earpieces and headsets. With 11 years of experience spanning RF transceiver product/test engineering and embedded hardware, he bridges applied electronics, signal processing, and neuroengineering to build biosignal-driven music systems for clinical and creative use. His work sits at the intersection of neuroscience and music—exploring how sound entrains EEG, ECG, eye movements, and respiration—and culminates in prototypes that enable music generation driven by physiological signals. Prior roles at Analog Devices honed his skills in production test, failure analysis, and customer-facing application examples, which he now applies to translational research and device prototyping in everyday settings. An inclination for circuit art and a GitHub persona "Neuromorphing" hint at a creative, design-oriented approach to technically rigorous problems.
11 years of coding experience
6 years of employment as a software developer
CBSE Class X, CBSE Class X at St. John's High School
Graduate coursework, Graduate coursework at Columbia Video Network
University of California, San Diego
CBSE Class XII, CBSE Class XII at SGGS Collegiate Public School
Bachelor of Science (BS), Electrical Engineering, Bachelor of Science (BS), Electrical Engineering at Georgia Institute of Technology
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