I’m a Computing and Mathematical Sciences Ph.D. student in the Computational Vision Group at Caltech. My interests tend to cluster around machine learning, computer vision, and signal/image processing. My advisor is Dr. Pietro Perona.
I’ll be spending summer 2019 at Microsoft Research in Redmond, WA.
I graduated from Duke University in May 2017 with a B.S.E. in Electrical and Computer Engineering and Mathematics. I’ve also spent time at the Air Force Research Lab, the Duke University Marine Lab, and the Woods Hole Oceanographic Institution.
Previously, I’ve worked on OCT imaging and image processing with Dr. Sina Farsiu, datacenter-level computational sprinting with Dr. Benjamin C. Lee, bioacoustic signal detection with Dr. Douglas Nowacek, environmental sensing with Dr. Martin Brooke, and oceanographic data analysis with Dr. Cindy Van Dover.
Statistical Models of Signal and Noise and Fundamental Limits of Segmentation Accuracy in Retinal Optical Coherence Tomography
T. DuBose, D. Cunefare, E. Cole, P. Milanfar, J. Izatt, S. Farsiu
IEEE Transactions on Medical Imaging, 2018
Noise models and Cramèr-Rao lower bounds for the OCT image segmentation problem.
Enhanced visualization of peripheral retinal vasculature with wavefront sensorless adaptive optics optical coherence tomography angiography in diabetic patients
J. Polans, D. Cunefare, E. Cole, B. Keller, P. Mettu, S. Cousins, M. Allingham, J. Izatt, S. Farsiu
Optics Letters, 2017
Fast deformable mirror optimization enables high-resolution adaptive optics angiography.
Wide Field-of-View Wavefront Sensorless Adaptive Optics Optical Coherence Tomography for Enhanced Imaging of the Peripheral Retina
J. Polans, B. Keller, O. Carrasco-Zevallos, F. LaRocca, E. Cole, H. Whitson, E. Lad, S. Farsiu, J. Izatt
Biomedical Optics Express, 2017
A new OCT system with an extremely wide field-of-view and sensorless adaptive optics.
Computational Sprinting: Architecture, Dynamics, and Strategies
S. Zahedi, S. Fan, M. Faw, E. Cole, B. Lee
ACM Transactions on Computer Systems, 2017
Game theory allows many independent processors to get more work done without overloading their shared power supply.
Seismic survey noise disrupted fish use of a temperate reef
A. Paxton, J. Taylor, D. Nowacek, J. Dale, E. Cole, C. Voss, C. Peterson
Marine Policy, 2017
Seismic surveying changes how fish behave.
Press: Vox, The News & Observer, Public Radio East, UNC-TV. This work was also cited in a letter from 103 members of the U.S. Congress to Secretary of the Interior Ryan Zinke.
SyPRID Sampler: A Large-Volume, High-Resolution, Autonomous, Deep-Ocean Precision Plankton Sampling System
A. Billings, C. Kaiser, C. Young, L. Hiebert, E. Cole, J. Wagner, C. Van Dover
Deep-Sea Research Part II: Topical Studies in Oceanography, 2016
A new AUV-mounted instrument can collect fragile larvae from the deep sea.
Press: Scientific American, WHOI Press Release.
An ocean sensor for measuring the seawater electrochemical response of 8 metals referenced to zinc, for determining ocean pH
M. Brooke, E. Cole, J. Dale, A. Prasad, H. Quach, B. Bau, E. Bhatt, D. Nowacek
IEEE International Conference on Sensing Technology, 2015
An experimental ocean pH sensor based on an old idea from soil monitoring.