Most of my teaching has focused on making geospatial analysis and programming accessible to researchers from any background, through UC Berkeley’s D-Lab, where I co-developed and taught workshops in R, Python, and QGIS, and as a teaching assistant for courses in spatial data analysis and climate change economics. I’ve also mentored undergraduates in research using remote sensing and machine learning tools.
Courses
PP275 – Spatial Data Analysis
Teaching Assistant · UC Berkeley · Fall 2022 Course page
ENERES176 – Climate Change Economics
Teaching Assistant · UC Berkeley · Fall 2019 Course page
Workshops
UC Berkeley’s D-Lab, Spring 2020 – Spring 2022
Co-developed + taught
- Geospatial Analysis in R · Workshop materials
- Geospatial Analysis in Python · Workshop materials
- Geospatial Analysis in QGIS · Workshop materials
- Digital Health Social Justice · Website
- Data for Housing · Website
Taught
- Coding in R · Workshop materials
- Coding in Python · Workshop materials
Mentoring
Data Discovery Program
UC Berkeley · August 2025 – May 2026
Led and mentored six undergraduates across two research teams: one updating a deep learning pipeline to quantify carbon dioxide emissions from power plants using a simulated dataset, and one working on nitrogen oxide (NOₓ) emissions.
Getting into Graduate School (GiGS)
UC Berkeley · August 2025 – May 2026
Mentored an undergraduate student through applying to graduate school.
Environmental and Energy Economics Mentoring Program
UC Berkeley · August 2024 – May 2025
Led and mentored two undergraduates in research quantifying tropical cyclone impacts in Madagascar.