Yi Wu is a PhD student in Music Technology at the Music and Audio Research Laboratory (MARL) at New York University, advised by Dr. Agnieszka Roginska and Dr. Magdalena Fuentes. His research focuses on learning-based 3D scene-to-acoustic field tasks, aiming to improve the efficiency, plausibility, and generalization of scene-aware room acoustic rendering in augmented and virtual reality. These tasks examine how neural models can leverage room geometry and scene semantics to achieve scalable and perceptually aligned spatial audio rendering, as well as audio-visual scene understanding.

He holds a Bachelor of Science in Computer Science from Fordham University, with a minor in Mathematics, and a Bachelor of Science in Electrical Engineering from Columbia University. He earned his Master of Science in Music Technology at the Georgia Tech Center for Music Technology (GTCMT) under the guidance of Dr. Jason Freeman.

Yi has interned with Bose Corporation and worked as a technical sound designer in the gaming industry at Hi-Rez Studios, contributing to the release of two major titles through his work in sound design, technical implementation, and R&D. He also served as a research assistant to Dr. Henry Han at Baylor University, focusing on machine learning for nonlinear and small-sample data, with applications in audio content analysis.