• Assistant Professor, Principal Investigator, Doctoral Advisor
• College of Future Technology
  National Biomedical Imaging Center

• 个人简介

  His research primarily focuses on computational imaging, which tightly integrates optics, control, signal processing and machine learning to push the boundary of scientific imaging. His lab is currently devoted to the development of super-resolution microscopes, with a specific focus on imaging through scattering biological tissues.

• 个人履历

  2022. 5 – now Assistant Professor, National Biomedical Imaging Center, College of Future Technology, Peking University, Beijing, China
  2019. 9 – 2022.3 Postdoctoral Researcher, Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA.
  2018. 6 – 2018.9 Research Intern, Mitsubishi Electric Research Laboratories, Cambridge, MA, USA.
  2014-2019 Ph.D. in Mechanical Engineering, Princeton University.
  2010-2014 B.Eng. in Engineering Mechanics and B.S. in Economics, Peking University

• 承担项目

  Living Cell Super Resolution 3D Panoramic Imaging and analytical technology System Development, 2023-2027, in progress, participated

• 代表性论文及论著

  1. Enze Ye, Yuhang Wang, Hong Zhang, Yiqin Gao, Huan Wang, and He Sun*. "Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy Movies." IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
  2. He Sun*, Katherine L. Bouman. “Deep probabilistic imaging: uncertainty quantification and multi-modal solution characterization for computational imaging.” AAAI Conference on Artificial Intelligence (AAAI), 2021.
  ​3. Bin Cheng, Enze Ye, He Sun*, and Huan Wang*. "Deep learning-assisted analysis of single molecule dynamics from liquid-phase electron microscopy." Chemical Communications, 2023 59(12).
  4. He Sun*, Adrian V. Dalca, Katherine L. Bouman. “Learning a probabilistic strategy for computational imaging sensor selection.” International Conference on Computational Photography (ICCP), 2020.
  5. He Sun*, Alexei Goun, Susan Redmond, Michael Galvin, Tyler Groff, Maxime Rizzo. “High-Contrast Integral Field Spectrograph (HCIFS): multi-spectral wavefront control and reduced-dimensional system identification.” Optics Express, 2020, 28 (15).