I'm a PhD student in the Computer Science Department at Carnegie Mellon University, where I tackle problems in computer vision, computational photography and computer graphics. I'm advised by Matthew P. O'Toole.

My research focuses on rethinking the conventional camera in order to improve real-world robustness, reduce computation time and potentially even capture phenomena traditionally invisible to the human eye. In short, I think deeply about both the underlying physical principles of modern camera hardware, as well as the capabilities of current computational tools and how they can be applied to the vision pipeline. This joint perspective enables extremely cheap high-speed cameras, far more robust and energy-efficient LiDAR systems, cameras that can see vibrations, and more. My work has been recognized with the Best Paper Honorable Mention Award at CVPR 2022, and 1st place at the SIGGRAPH 2020 Student Research Competition. I have also served as a reviewer for CVPR, ICCV, ECCV, TOG, ICCP and TCI.

I'm also currently an ombudsperson for the Computer Science Department. Please feel free to reach out if there's anything you'd like to chat about!

I quite enjoy fishing, and on occasion I try to make music. I'm also a big Denver Nuggets fan.

drop me a line: dorianychan@gmail.com

I am looking for academic or industry jobs starting Summer or Fall 2025. Let me know if you have any leads!

Some of my past work: