Laura Waller, Ph.D.

Associate Professor of Electrical Engineering and Computer Sciences

 

Laura directs the Computational Imaging Lab at the University of California, Berkeley, which develops new methods for optical and X-ray microscopy.

Laura Waller, Ph.D.
 

Research Description

Laura directs the Computational Imaging Lab at the University of California, Berkeley, which develops new methods for optical and X-ray microscopy. Her research involves simultaneous design of optical systems and computational inverse algorithms for creating microscopes to image phase, 3D fluorescence and optical coherence. Laura’s group plans to pursue efficient and scalable methods for 3D phase imaging across large volumes with very high resolution. This work has broad scientific applications in biology, defense, physics and industrial inspection.

The end goal is to create new imaging modalities that employ simple and inexpensive hardware, yet achieve contrast modes not otherwise possible. Simplicity will promote adoption of widespread phase and 3D imaging in existing microscopes as well as new ones. Being able to quickly image small features across a large-scale area or volume and recover Gigapixel-scale aberration-free images enables new avenues for scientific discovery in all fields where optical microscopes are the standard workhorse instruments.

Laura Waller earned her B.S., M. Eng. and Ph.D. from the Massachusetts Institute of Technology and was a Postdoctoral Researcher at Princeton University. She is currently an Assistant Professor at UC Berkeley in the Department of Electrical Engineering and Computer Sciences (EECS) and a Senior Fellow at the Berkeley Institute of Data Science (BIDS), with affiliations in Bioengineering and Applied Sciences & Technology. She is also a Bakar fellow, NSF CAREER awardee and Packard Fellow.

More information:

Lab Website

Lab Group on GitHub

ORCID: 0000-0003-1243-2356

 
 

related links

Data-Driven Discovery Science University of California, Berkeley Department of Electrical Engineering & Computer Sciences Back