SEAN I YOUNG, PhD | About Me | Curriculum Vitae | Publications | Google Scholar | E-mail
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Biography. Hi! I am an Assistant Professor of Radiology at the Martinos Center,
Harvard Medical School (supported by a NIH K99/R00 Career Development
Award) and Research Affiliate with the Computer Science and Artificial
Intelligence Lab (CSAIL) at the Massachusetts Institute of Technology, where I
design novel computational imaging methods for radiology. Previously, I was a
Postdoctoral Scholar in the Department of Electrical Engineering, Stanford
University, where I worked on computational imaging and model compression. I
received my PhD in electrical engineering from the University of New South Wales,
Sydney, NSW, Australia. My research expertise lies in the design of novel methods for computational
imaging and, in particular, 3D image reconstruction and related inverse problems in medical imaging. I
received the 2018 Australian Pattern Recognition Society (APRS)’s best paper award for my work on “fast
optical flow extraction from compressed video”.
Research Statement. I seek to improve healthcare outcomes by making fundamental contributions to the
science of computational radiology. Examples of computational radiology problems I have solved include
accurate MRI of moving subjects from a single MR slice stack; registration of medical images of different
contrast to deci-voxel accuracy; and supervised image reconstruction with few labeled images. Coming from
an imaging and signal processing background, I am also interested in solving more general computational
imaging problems in hopes that the developed techniques will find use in radiology one day. Examples of
computational imaging problems I have solved include 100x faster motion estimation using filtering; non-
line-of-sight surface reconstruction using Cholesky–Wiener filtering; and 30x smaller convolutional neural
networks using transform quantization for real-time imaging. Continue reading here.
Teaching and Diversity Statements. These can be found here, and here.
Latest News
Oct 26, 2025 My work “3D computational neuroimaging via slab photography and deep learning” is to
be published soon. Check back here for the preprint.
Jun 14, 2025 My work “Foundations of large language model compression. Part 1: weight quantization”
has been presented at ICML 2025. Preprint is available here.
May 17, 2024 A bunch of us were invited to present in Randy Buckner’s group. We had fun! I presented
my CVPR work “Fully convolutional slice-to-volume reconstruction for single-stack MRI”.
Feb 26, 2024 I’ll be presenting my work “Fully convolutional slice-to-volume reconstruction for single-
stack MRI” at CVPR 2024. Come check out our poster in the Thursday AM session!
Jan 16, 2024 I’ll be giving an invited talk “Efficient methods for computational radiology and imaging”
at Cornell next week. Thanks Mert Sabuncu for the invite! Talk slides can be found here.
Dec 12, 2023 Our work on the reconstruction of dissection photographs for 3D neuropathology (led by
Harshvardhan Gazula) has been accepted for publication in eLife. See more here.
Oct 6, 2023 I am coorganizing the first edition of the Auckland–Boston Workshop on Medical Imaging
at the Auckland Bioengineering Institute. The registration link can be found here.
Jun 14, 2023 I’ll be presenting my work “Supervision by denoising” at ICCP 2023 (oral). This work will
be published in an upcoming issue of the IEEE Trans Pattern Anal Mach Intell.
