Yingsi Qin
Complete Bio
Yingsi is a PhD candidate in Electrical and Computer Engineering at Carnegie Mellon University, advised by Prof. Aswin Sankaranarayanan and Prof. Matthew O'Toole. Her work in spatially adaptive imaging and 3D display systems demonstrates how fundamental physical laws such as complex light transport and 3D geometry, when integrated with algorithmic programmability, can overcome the limits of traditional sensing and perception. Her research area involves a fusion of computer vision, computational imaging, 3D perception, signal processing, optics, and machine learning. 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 (Marr Prize) 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 B.S. in Computer Science focused on Artificial Intelligence from Columbia University and her B.A. in Physics from Colgate University. She has interned at Meta Reality Labs on the Display Systems Research team (2024, 2025), Snap Research on the Computational Imaging team (2020), and Google Search (2019).