Andrew Xie

I am a first-year Computer Science PhD student at the Harvard University, supervised by Qianqian (Quinn) Wang. I am also a graduate fellow at the Kempner Institute.

Before this, I received my Master's at the University of Toronto, supervised by David Lindell and Kyros Kutulakos in the Toronto Computational Imaging Group. I have a Bachelor's of Applied Science from the University of British Columbia studying Engineering Physics.

Email / CV / Google Scholar / Twitter / Github

Research

My research interests is in building systems that can intelligently interact with the physical world involving computer vision, computational sensing, machine learning, and robotics.

	Polarimetric Full-Wavefield Coherent Lidar Dongyu Du, Andrew Xie, Parsa Mirdehghan, Brandon Buscaino, Seung-Hwan Baek, Kiriakos N. Kutulakos, David B. Lindell Optica, 2026 project page
	Inter-Photon-Limited Videography Andrew Xie, Dongyu Du, Sotiris Nousias, David B. Lindell, Kiriakos N. Kutulakos CVPR, 2026 (Highlight) project page / paper
	Neural Inverse Rendering from Propagating Light Anagh Malik, Ben Attal, Andrew Xie, Matt O'Toole, David B. Lindell, * Co-first authors. CVPR, 2025 (Oral Presentation, Best Student Paper Award 🏆) project page / arXiv
	Deep Learning-Based Correction and Unmixing of Hyperspectral Images for Brain Tumor Surgery David Black, Jaidev Gill, Andrew Xie, Benoit Liquet, Antonio Di leva, Walter Stummer, Eric Suero Molina, Co-first authors. iScience 27 (12)
	Machine and Deep Learning in Hyperspectral Fluorescence-Guided Brain Tumor Surgery Eric Suero Molina, David Black, Andrew Xie, Jaidev Gill, Antonio Di Ieva & Walter Stummer Computational Neurosurgery, 245-264

Source code based on Jon Barron's website.