Teaching

• Data Science for the Geosciences, Cambridge University Press, 2023
  • An accessible textbook providing data science foundations to address earth science questions using real-world case studies.
  • Step-by-step instruction for each method, allowing students to easily put their skills into practice
  • Real earth datasets and case studies to address Earth science questions across a range of disciplines
  • Intuitive reasoning without the need for complex mathematics or prior coding experience

Book cover: Data Science for the Geosciences

• ERTH 4735/NRE 4135 Introduction to Groundwater Hydrology (Fall 2024)

• Machine Learning in Geosciences, University of Texas at Arlington
  • Guest Lecturer, Feb 2024
  • Machine learning applications in geosciences
  • Introduction to geostatistics
• Model Calibration in Hydrology
  • Tutorial for Stanford Enviornmental Geochemistry Group, May 2023
• Data Science for Geoscience, Stanford University
  • Course designer and teaching assistant of a new undergrad class, Winter 2021
  • Teaching assistant, Winter 2019 / Winter 2022
  • Some feedback from the students: She is very clear in her explanations. Very committed. She was very articulate at explaining complex topics; She was very kind and patient.
• Data Analysis and Business Value, Teaching assistant, Peking University, Spring 2017

Educational blog

• Introduction to Spatial Data Analysis, Stanford Data Science Scholar Blog
• Introduction to Convolutional Neural Network for Computer Vision