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He Sun 孙赫

I am a postdoctoral researcher and Amazon AI4Science Fellow at Caltech CMS, working with Prof. Katie Bouman. I am also affiliated to the Event Horizon Telescope Collaboration for black hole imaging. My research focuses on computational imaging and adaptive optics, where multidisciplinary ideas, including optics, control, signal processing and machine learning, are applied.

I received my PhD in Mechanical and Aerospace Engineering from Princeton in 2019, advised by Prof. N. Jeremy Kasdin. My PhD thesis is about space telescope's adaptive optics system for high-contrast exoplanet imaging. I previously received my B.Eng. degree in Engineering Mechanics and B.A. degree in Economics from Peking University in 2014.


Featured Projects
Computational Imaging
Computational imaging tightly integrates computational inference as part of the imaging systems to recover hidden signals from non-ideal measurements. My computational imaging research spans imaging hardware-software co-design, deep learning inference algorithms, and uncertainty quantification. Most of these projects have contributed to the Event Horizon Telescope (EHT) for black hole imaging.
Adaptive Optics (AO)
Adaptive optics (AO), is a control system that removes the wavefront aberrations in telescope systems. It is very important in the large ground-based telescopes and the next-generation space telescopes (e.g. RST, Habex, LUVOIR) in order to achieve a high contrast for Earth-like exoplanets imaging. I work on the control algorithms and the spectrograph for space telescope AO.

Work Experience


  • Reviewer for J. Astron. Telesc. Instrum. Syst., Journal of Automatica Sinica, MDPI Sensors, ICASSP (2020, 2021)
  • Member of the Committee on Caltech CMS Graduate Admissions, 2020-2021
  • Member of the Priorities Committee (budgeting committee) of Princeton University, 2017-2018


  • Guest lecturer, Data-Driven Algorithms Design (CS 159), Caltech, Spring 2020
  • Guest lecturer, Computational Cameras (CS/EE166), Caltech, Spring 2020
  • Teaching assistant, Automatic Control System (MAE433), Princeton, Fall 2018
  • Teaching assistant, Introduction to Engineering Dynamics (MAE206), Princeton, Spring 2018
  • Teaching assistant, Space Flight, Princeton (MAE341), Fall 2017
  • Teaching assistant, Mathematics in Engineering (MAE305/MAT391), Princeton, Fall 2016


  • Amazon AI4Science Fellowship, California Institute of Technology, 2020
  • Best paper for observation technologies and systems, IEEE Aerospace Conference, 2019
  • Britt and Eli Harari Fellowship, Princeton University, 2018
  • SEAS Award for Excellence, Princeton University, 2017
  • ExxonMobil Scholarship, Peking University, 2013
  • Scholarships for Students in Japan, JASSO, 2013
  • Boeing Scholarship, Peking University, 2012

Selected Publications

PhD Thesis Computational Imaging
Deep Probabilistic Imaging: uncertainty quantification and multi-modal solution characterization for computational imaging
He Sun, Katherine L. Bouman
AAAI Conference on Artificial Intelligence (AAAI), 2021 [code] [webpage]
Learning a probabilistic strategy for computational imaging sensor selection
He Sun, Adrian V. Dalca, Katherine L. Bouman
International Conference on Computational Photography (ICCP), 2020 [code] [webpage]
Adaptive Optics and Spectroscopy
High-Contrast Integral Field Spectrograph (HCIFS): multi-spectral wavefront control and reduced-dimensional system identification
He Sun, Alexei Goun, Susan Redmond, Michael Galvin, Tyler Groff, Maxime Rizzo, and N. Jeremy Kasdin
Optics Express, 2020
Efficient wavefront sensing for space-based adaptive optics
He Sun, N. Jeremy Kasdin, Robert Vanderbei
Journal of Astronomical Telescopes, Instruments, and Systems, 2020
Modern wavefront control for space-based exoplanet coronagraph imaging
He Sun, Jessica Gersh-Range, N. Jeremy Kasdin
IEEE Aerospace Conference, 2019, Track Best Paper Award
Identification and adaptive control of a high-contrast focal plane wavefront correction system
He Sun, N. Jeremy Kasdin, Robert Vanderbei
Journal of Astronomical Telescopes, Instruments, and Systems, 2018 [code]
Improved high-contrast wavefront controllers for exoplanet coronagraphic imaging systems
He Sun, N Jeremy Kasdin, Robert Vanderbei, A.J. Eldorado Riggs, Tyler Groff
Proceedings of SPIE, 2017
Astronomical Image Processing
Bernoulli generalized likelihood ratio test for signal detection from photon counting images
Mengya Hu, He Sun, Anthony Harness, N. Jeremy Kasdin
Journal of Astronomical Telescopes, Instruments, and Systems, 2021
Exoplanet detection in starshade images
Mengya Hu, Anthony Harness, He Sun, N. Jeremy Kasdin
Journal of Astronomical Telescopes, Instruments, and Systems, 2021
Robot Motion Planning
Learning heuristic for mobile robot path planning using deep neural network
Takeshi Takahashi, He Sun, Dong Tian, Yebin Wang
International Conference on Automated Planning and Scheduling (ICAPS), 2019

Last updated: by He Sun.