Teaching/Mentoring

Teaching

  1. ESE 101 (Fall 2019): Earth's Atmosphere
    • Developed weekly short-format quizzes to guide and assess students' reading comprehension.
    • Graded weekly problem sets on big-picture climate topics. Homework problems included derivations, short-answer questions, and coding assignments.
    • Hosted weekly office hours to help students with homework assignments and weekly recitation sections where I developed hour-long lectures to go into more detail on adjacent topics not covered in class.
    • Assisted in administration and grading of oral final exams and in-class presentations.
  2. ESE 130 (Winter 2021, Zoom): Atmosphere and Ocean Dynamics (an introductory GFD course)
    • Created short asynchronous videos explaining important background information or going into detailed derivations skipped during lectures. E.g. Deriving the primitive equations, Fourier transforms, or the Anelastic approximation.
    • Hosted twice weekly office hours over Zoom (to accommodate different timezones!).
    • Graded biweekly problem sets on GFD topics.
    • Assisted in administration and grading of oral final exams.
  3. ESE 134 (Spring 2022): Cloud and Boundary Layer Dynamics
    • Wrote and graded weekly problem sets on boundary layer dynamics and clouds. Topics ranged from moist thermodynamics to cloud microphysics. Homework problems were a combination of pen-and-paper questions and using simple numerical models to explore concepts.
    • Hosted weekly office hours to help students with homework assignments and understanding class material.
    • Prepared two 90-minute lectures on stratocumulus-topped boundary layers and cloud microphysics.
    • Graded student in-class presentations and written reports on chosen BL topics.

Mentoring

  • I am mentoring a summer undergraduate research fellow (SURF) student in summer 2022. We are working together on a project looking at subtropical relative humidity in the CMIP6 archive. The scientific goals of this project are to characterize subtropical humidity in the present climate, how it changes under future emissions scenarios, and the spread across the model ensemble in these predictions. We hope to identify possible sources of intermodel spread that will elucidate further understanding of what sets subtropical humidity. Personal goals for my mentee are to develop her coding ability, her familiarity with climate science concepts, climate models, model output, and generally how to analyze geospatial data, and how to work with big data.
  • Informally, as the most senior graduate student in my research group since day 1, I have had the opportunity to mentor many younger students from the stage of taking courses, choosing projects, and progressing through our program requirements.