Presented By O'Reilly and Cloudera
Make Data Work
March 28–29, 2016: Training
March 29–31, 2016: Conference
San Jose, CA
Laura Waller

Laura Waller
Assistant Professor, UC Berkeley

Website | @optrickster

Laura Waller is 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. Previously, Laura was a postdoctoral researcher and lecturer of physics at Princeton University. Laura holds BS, MEng, and PhD degrees from the Massachusetts Institute of Technology (MIT). She is a Moore Foundation data-driven investigator, Bakar fellow, NSF CAREER awardee, and Packard fellow.

Sessions

3:30pm–4:00pm Tuesday, 03/29/2016
Hardcore Data Science
Location: 210 C/G
Tags: science
Laura Waller (UC Berkeley)
Average rating: ****.
(4.30, 10 ratings)
Laura Waller gives an overview of new optical microscopes that employ simple experimental systems and efficient nonlinear inverse algorithms to achieve high-resolution 3D and phase images. By leveraging recent advances in data science, these microscopes can produce gigapixel-scale images at each time frame, computed efficiently and with good robustness to noise and model mismatch. Read more.