Laura Waller | |
|---|---|
| Waller speaks at the Berkeley Institute for Data Science, Data, Society and Inference Seminar in 2015 | |
| Born | Laura Ann Waller |
| Alma mater | Massachusetts Institute of Technology (BS, MEng, PhD) |
| Awards | National Science Foundation CAREER Award Adolph Lomb Medal (2021) |
| Scientific career | |
| Institutions | University of California, Berkeley Berkeley Institute for Data Science Princeton University University of Cambridge |
| Thesis | Computational phase imaging based on intensity transport (2010) |
| Doctoral advisor | George Barbastathis [1] |
| Website | laurawaller |
Laura Ann Waller is a Canadian-American computer scientist and the Ted Van Duzer Endowed Associate Professor at the University of California, Berkeley, where she directs the Computational Imaging Lab. [2] [3] Her research focuses on computational imaging, developing techniques that integrate optical hardware design with computational processing to advance microscopy and phase imaging. She is a Fellow of The Optical Society and a senior fellow of the Berkeley Institute for Data Science. [4]
Waller grew up in Kingston, Ontario, where she attended Holy Cross Catholic Secondary School. [5] [6] She pursued all three of her degrees at the Massachusetts Institute of Technology, earning a bachelor's degree in Electronic Engineering and Computer Science in 2004 and a Master's degree in 2005. [5] During her undergraduate studies, she spent a year at the University of Cambridge as part of the Cambridge–MIT Institute. [5] Her Master's thesis examined the design of feedback loops and experimental testing techniques for integrated optics. [5]
While at MIT, Waller was active in campus life: she played on the Women's Varsity soccer team, served as president of The Optical Society student chapter, and participated in the Singapore-MIT Alliance for Research and Technology (SMART) programme. [7] [8] [9]
She completed her doctorate in 2010 under the supervision of George Barbastathis, with a thesis that developed new techniques to image phase and amplitude. [10] [1]
Following her doctorate, Waller joined Princeton University in 2010 as a research associate and lecturer. [9] She moved to the University of California, Berkeley in 2012, where she was awarded tenure in 2016. [11]
Waller's research group specialises in computational imaging, an approach that integrates optical system design with computational processing. [3] [12] Their work spans phase imaging, super-resolution microscopy, and lensless imaging, with applications in both biomedical and industrial sciences. [13] [14] [15] She has developed machine learning techniques for 3D microscopy and her group maintains open source software for imaging applications. [16] [17]
In 2014, she received both a David and Lucile Packard Foundation Fellowship and a Gordon and Betty Moore Foundation Data-Driven Discovery Investigator award. [18] [19] Her National Science Foundation CAREER Award supports her research group's work building computational and experimental software for imaging 4D partially spatially coherent light. [20] In 2017, she was awarded an investigator award from the Chan Zuckerberg Initiative to develop microscopes capable of imaging deep structures within the brain. [21]
Waller was recognised as one of the MIT EECS Rising Stars in 2018. [22]