Qi Guo received the B.E. degree in automation from Tsinghua University, Beijing, China, in 2015, and the M.S. and Ph.D. degrees in electrical engineering from Harvard University, Cambridge, MA, USA, in 2018 and 2021, respectively. He is currently an Assistant Professor with the Elmore Family School of Electrical and Computer Engineering, Purdue University, where he is also affiliated with the Institute of Control, Optimization, and Networks (ICON).

His research interests include computational imaging, computer vision, and applied optics. He received the Best Paper Award at the European Conference on Computer Vision (ECCV) in 2016 and the Best Demo Award at the International Conference on Computational Photography (ICCP) in 2018. He was also the recipient of the Motorola Excellence in Teaching Award and the Ruth and Joel Spira Outstanding Teaching Award at Purdue ECE in 2025.

Dr. Guo is a member of the IEEE Technical Committee on Computational Imaging and serves as an Associate Editor for the IEEE Open Journal of Signal Processing (OJSP) and IEEE Transactions on Computational Imaging (TCI).