Experience

  1. Data Support Specialist/Associate Scientist II

    National Snow and Ice Data Center
    • Develop a detailed knowledge of NSIDC data products • Review sample data, metadata, user guides and test software updates to tool and web applications • Develop user support material, including tutorials and help documentation • Investigate and respond to all incoming user requests through email, request forms, and phone
  2. Assistant Mapping Geologist

    Washington Geologic Survey
    • Utilized a combination of traditional and remote mapping methods, including Lidar and aerial imagery, to create a 1:24,000 scale geologic map in Central Washington • Conducted a geomorphic mapping analysis of landforms using Lidar imagery in ArcGIS. Applied the spatial analyst and 3D analyst tools • Extensive experience using ArcGIS Pro to input and edit geologic data as a part of the Data Preservation project • Collaborated with scientists to compile historical and recent thin section data for public use
  3. Graduate Teaching Assistant

    Central Washington University
    Successfully conveyed challenging geologic concepts to diverse groups of students in courses including: • Sedimentology & Stratigraphy • Quantitative Methods • Introductory Geology Lab • Senior Field Methods (taught remote Summer of 2020)

Education

  1. MS Geological Sciences

    Central Washington University
    Thesis title: Temporal Constraints of Tectonic Events in the Southern Transantarctic Mountains, Antarctica from Geomorphic Analysis
  2. BS Geological Sciences

    Central Washington University
  3. Associate of Arts

    Olympic College
    Completed through high school running start program.
Skills
Technical Skills
Python
R
MATLAB
ArcGIS (ArcPro, Collector, StoryMaps)
QGIS
Unix/Linux
Wget
Collaboration & Communication
Git & Github
Jira
Trello
Adobe Illustrator
Microsoft Suite
Awards
Best Paper Award
NeurIPS ∙ December 2022
Awarded for groundbreaking work on efficient training of large models.
AI Innovation Grant
National Science Foundation ∙ June 2021
$500,000 grant for research in ethical AI development.
Outstanding PhD Thesis
Stanford University ∙ June 2019
Recognized for contributions to scaling laws in deep learning.
Languages