I spend most of my days writing code (mostly R
, Python
, SQL
) to clean, visualize, and model data. I have a PhD in computational hydrogeology, where I simulated and visualized 3D contaminant transport in aquifers.
I love to surf ๐โ, climb mountains ๐ง๐ผ, tinker on bikes ๐ดโ, read and learn new things ๐, play guitar ๐ธ, and cook ๐งโ๐ณ.
PhD in Computational Hydrogeology, 2020
University of California Davis
BA in Integrative Biology, minor in Conflict Resolution, 2011
University of California Berkeley
R for water Resources Data Science.
Domestic well failure prediction and cost estimates in critically overdrafted basins.
Real-time sensor networks and dashboards for monitoring environmental data.
Automated water quality reports for > 3,000 California public water systems. ๐ Winner 2019 California Water Data Challenge.
Cumulative variable importance.
Text yourself from R when long running jobs complete.
Groundwater quality data visualization.
Upload a shapefile of a study area to return clean OSWCR data from that area.
Exploratory data analysis of California's Online State Well Completion Report Database.
Using random forests, boosting, LDA, and QDA with variable probability thresholds for global landslide classification.
An adaptation of PapR to 30,000 American Geophysical Union abstracts.