Rich Pauloo, PhD

Hi 👋, my name is Rich.

I'm a scientist, educator, lifelong learner, and co-founder of Water Data Lab.

I love to surf 🏄‍, climb mountains 🧗🏼, tinker on bikes 🚴‍, read and learn new things 📚, play guitar 🎸, and cook 🧑‍🍳.


  • 💧 water
  • 🧮 modeling
  • 👨‍💻 data science/engineering
  • 📡 sensors, IoT, automation


  • PhD in Computational Hydrogeology

    University of California Davis

  • BA in Integrative Biology, minor in Conflict Resolution

    University of California Berkeley




R for water Resources Data Science.

gsp dry wells .com

Domestic well failure prediction and cost estimates in critically overdrafted basins.

low cost sensor networks

Real-time sensor networks and dashboards for monitoring environmental data.

cal water quality .com

Automated water quality reports for > 3,000 California public water systems. 🏆 Winner 2019 California Water Data Challenge.

interpretable random forests

Cumulative variable importance.


Text yourself from R when long running jobs complete.

Tulare basin TDS

Groundwater quality data visualization.

CA well report filter

Upload a shapefile of a study area to return clean OSWCR data from that area.

CA well reports

Exploratory data analysis of California's Online State Well Completion Report Database.

Fatal landslide prediction

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.