Samuel N Araya

Postdoctoral Scholar

Stanford University


I am a postdoctoral scholar at Stanford University working in Professor Scott Fendorf’s lab. My current research is focused on data-driven analysis of surface and environmental variables to understand subsurface soil biogeochemistry. I am working on a project aimed at deciphering arsenic concentrations in rice from optical remote sensing products. I am also involved in research investigating links between surface characteristics and subsurface biochemistry at a heavy metal contaminated floodplain.

My Ph.D. work (advised by Professor Teamrat Ghezzehei, University of California—Merced) involved machine learning, computer simulations, and unmanned aircraft systems to investigate links between soil structure, surface characteristics, and soil hydrology.


  • Soil science
  • Machine learning
  • Spatial analysis


  • PhD in Environmental Systems, 2019

    University of California, Merced

  • MSc in Environmental Systems, 2014

    University of California, Merced

  • BSc in Land Resources and Environment, 2007

    Asmara University


R | Python | JavaScript

Machine Learning




Linking sub-subsurface biogeochemistry with surface observations

Using data science methods to understand sub-surface biogeochemistry from surface observations

Rice arsenic contamination from a drone

Arsenic detection in rice from drone images using machine learning

Machine Learning Pedotransfer

Unsaturated hydraulic conductivity pedotransfer using machine learning.

Long-term conservation agriculture impact on soil hydrology

Impact of long-term conservation agriculture on soil hydraulic properties and moisture storage

Soil moisture observation from a drone

High resolution soil moisture prediction from drone images using machine learning


  • 367 Panama Street, Stanford, CA, 94305, United States
  • Green Earth Sciences, Room 323