Laura Waller

Research Bio

Laura Waller leads the Computational Imaging Lab, which develops new methods for optical imaging, with optics and computational algorithms designed jointly. She holds the Charles A. Desoer Chair in Engineering and is a Senior Fellow at the Berkeley Institute of Data Science (BIDS), with affiliations in Bioengineering and Applied Sciences & Technology.

Waller is a Moore Foundation Data-Driven Investigator, Bakar fellow, Distinguished Graduate Student Mentoring awardee, NSF CAREER awardee, Chan-Zuckerberg Biohub Investigator, SPIE Early Career Achievement Awardee and Packard Fellow. She was a Postdoctoral Researcher and Lecturer of Physics at Princeton University from 2010-2012 and received BS, MEng and PhD degrees from MIT in 2004, 2005 and 2010, respectively. 

Research Expertise and Interest

computational optical imaging, light field cameras, metrology and inspection, phase retrieval, inverse problems in imaging, optical coherence theory, 3D imaging and display

In the News

The Invisible Comes to Light

Laura Waller is working on computational imaging methods for quantitative phase microscopy, which enables one to map the shape and/or density of invisible samples in a non-invasive way.  Her group is developing simple experimental architectures and efficient post-processing algorithms for phase recovery, applied in a variety of scientific and industrial settings.

Funding for big-data projects in ecology, astronomy & microscopy

Three professors at UC Berkeley will receive $1.5 million over the next five years from the Gordon and Betty Moore Foundation as part of the foundation’s Data-Driven Discovery Initiative. The initiative, one of the largest privately funded data scientist programs of its kind, is committed to enabling new types of scientific breakthroughs by supporting interdisciplinary, data-driven researchers.

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