Teaching
Teaching Experiences
Teaching Assistant Consultant
Writing Programs, Clusters
Fall 2024 through Winter2026
The Teaching Assistant Consultant (TAC) is an experienced TA who has been selected to co-facilitate the development and training of new TAs in their department.
As a member of the 495 teaching team and near-peer mentor for the Clusters Program, I co-taught new TAs learn the fundamentals of evidence-based and inclusive teaching practices, how to apply these fundamentals in their discipline in order to be effective instructors, and how to effectively manage the responsibilities and conflicts that arise as a TA.
Teaching Assistant (Primary Instructor)
Writing II Seminar on Artificial Intelligence in the Climate Crisis
Spring 2024 and 2025
Designed and taught an academic writing seminar for first-year undergraduate students.
I used Fink’s Taxonomy, one of the main learning outcomes of the course is that students will value
writing as a process.
Course Description: Students examine the potential benefits and ethical dilemmas of AI in climate action; balancing technological innovation with environmental responsibility. This course explores best practices in science and technical writing and the process of science journalism through close readings and peer review. Students will write and revise an original piece on a topic related to AI’s usage, along with a compelling pitch, with the option to submit their work for publication.
Writing Consultant
UCLA Graduate Writing Center
Fall 2022 – Summer 2025
I worked one-on-one with graduate students to strengthen their writing across a all academic disciplines and genres. I provided feedback on grammar, organization, flow, etc for thesis work, publications, and grants and awards. I supported writers in developing effective editing and revision skills.
Teaching Assistant
AOS 111: Introduction to Machine Learning
Fall 2023
Course Description: Practical, hands-on introduction to seven of most popular algorithms of machine learning (ML). Students will focus on solving typical problems that arise in physical sciences and create a final ML project exploring a problem of their choosing. This course covers algorithms in broad areas of ML, including supervised learning (regression and classification) and unsupervised learning (clustering and dimensionality reduction).
Teaching Assistant
AOS 101: Atmospheric Thermodynamics
Fall 2022
Course Description: Introduction to thermodynamics (flows of heat, energy, and work) and dynamics (winds) of atmosphere. Topics covered include hydrostatic balance, first law of thermodynamics, dry and moist adiabatic processes, atmospheric stability, and fundamental equations of motion of atmosphere, with applications to geostrophic, gradient, and thermal winds.
Teaching Assistant
AOS 1: Climate Change and Policy
Spring 2022
Course Description: Overview of fundamentals of Earth’s climate, including greenhouse effect, water and chemical cycles, outstanding features of atmospheric and ocean circulation, and feedback between different system components. Importance of climate science and prediction to society.
Math Tutor
Mathnasium of Monrovia
2019-2021
I provided one-on-one and small group math instruction to students ranging from kindergarten to high school. I helped students strengthen their conceptual understand (mental math) and develop problem-solving strategies.