My research is in computational imaging, which involves the joint design of optics and algorithms for imaging systems with new capabilities. For example, we aim to achieve high-resolution recovered images across very wide field of view and with minimal capture time. I focus on scientific applications of phase, 3D, and 4D coherence imaging. Phase imaging allows visualization of transparent samples without labeling and can be done with experimentally simple methods, in both 2D and 3D. Coherence information, which requires 4D data capture, enables one to recover 3D objects without moving parts, mitigate scattering effects, and remove aberrations in post-processing. In all our projects, both optics and signal processing are key to achieving efficient non-traditional imaging modes using simple hardware. The aim is to break the conventional view of microscopy in order to more efficiently capture previously inaccessible information.

Awards and Achievements

  • Moore Foundation Data-Driven Investigator ( 2014)
  • Bakar Fellow ( 2014)
  • NSF CAREER award ( 2014)
  • Chan-Zuckerberg Biohub Investigator Award
  • Carol D. Soc Distinguished Graduate Student Mentor Award

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