My research interests include open source tools for collecting data, tracking and visualizing environmental change, new analytical methods such as applying deep learning to satellite imagery and machine learning methods in econometrics. I have a very interdisciplinary background so my interests span anywhere from edge habitats and landscape ecology to consensus algorithms in distributed systems, like Raft!
At Berkeley, I am part of the NSF Data Sciences for the 21st Century program. After graduating from Harvard in 2013, I’ve worked in data visualization and design at Situ Research to most recently working as a software engineer at Mapbox.
2017 Data Institute @UCSF, Fast.ai Deep Learning Course
Diversity Fellowship Recipient
2013 Harvard Graduate School of Design
Received the Norman T. Newton Prize for Design
2008 Harvard College
Economic development, Critical GIS, Modeling + Simulation, Anticipatory Geographies, New Media, Science + Technology Studies, Econometrics, Rural economic development, feminist surveillance studies