Gaurav Patel is a PhD candidate and Graduate Research Assistant in Purdue ECE with nine years of research experience at the intersection of responsible AI, privacy-preserving learning, and multimodal perception. He leads projects on data-free knowledge transfer and machine unlearning, has collaborated with HP Labs and Purdue’s MARS Lab on applied document intelligence and tactile photometric sensing, and has internships at Amazon and Apple where he developed unlearning for distilled diffusion models and parameter-efficient personalization for time-series. His work spans discriminative and generative models, weakly-supervised segmentation, and audio-visual event localization, and has driven publications and proposals for venues including ICLR and Medical Image Analysis. Known for translating rigorous research into practical pipelines, he also brings strong teaching credentials—having led a Python for Data Science course and won a teaching award—highlighting his ability to communicate complex methods to diverse audiences.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Purdue University
Bachelor of Technology (Hons.), Electronics and Communication Engineering, Bachelor of Technology (Hons.), Electronics and Communication Engineering at National Institute of Technology Raipur
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