Yingsi Qin
Complete Bio
Yingsi is a PhD candidate in Electrical and Computer Engineering at Carnegie Mellon University, advised by Prof. Aswin Sakaranarayanan and Prof. Matthew O'Toole. Her research focuses on designing and building next-generation computational imaging and 3D display systems. By integrating computer vision, optics, signal processing, and machine learning, she creates new approaches to capture, process, and visualize three-dimensional information for mixed reality and machine vision applications. Yingsi's work has been recognized with the Best Paper Award at SIGGRAPH 2023, the Best Demo Award at ICCP 2023, and the Best Paper Honorable Mention Award at ICCV 2025. Yingsi is also a recipient of the Tan Endowed Graduate Fellowship and the James Sprague Presidential Fellowship at Carnegie Mellon University.
Prior to CMU, Yingsi obtained her Bachelor of Science in Computer Science from Columbia University and her Bachelor of Arts in Physics from Colgate University. She was a research intern at Meta Reality Labs in the Display Systems Research team (2024, 2025) and Snap Research in the Computational Imaging team (2020). She was also a software engineering intern at Google Search (2019).