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Career

· Co-founder, Beacons AI2019–
· Research Intern, MIT Lincoln Laboratory2014–2014
· PhD Student in Electrical Engineering, Stanford University2014–2019
· Undergraduate Student (Second Bachelor's Degree), Georgia Institute of Technology2012–2014
· Undergraduate Student, Duke University2006–2010
· Beacons

Publications (24)

Combining satellite imagery and machine learning to predict poverty
Science · 2016
1,521
cited
Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning
Nature Communications · 2019
634
cited
Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping
AAAI Conference on Artificial Intelligence · 2015
445
cited
Tile2Vec: Unsupervised representation learning for spatially distributed data
AAAI Conference on Artificial Intelligence · 2018
231
cited
Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
Neural Information Processing Systems · 2018
87
cited
Predicting Economic Development using Geolocated Wikipedia Articles
Knowledge Discovery and Data Mining · 2019
84
cited
Using machine learning to discover shape descriptors for predicting emulsion stability in a microfluidic channel.
Soft Matter · 2019
41
cited
Tile2Vec: Unsupervised representation learning for remote sensing data
2018
8
cited
Semi-supervised deep kernel learning
2016
4
cited
Nighttime Light Predictions from Satellite Imagery
2016
2
cited
Rapid bacterial identification based on surface-enhanced Raman scattering and machine learning (Conference Presentation) (Withdrawal Notice)
BiOS · 2018
1
cited
Finding Poverty in Satellite Images
2015
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