Teaching

Current course (AY 23-24)

EEPS 1720 / DATA 1720: Tackling Climate Change with Machine Learning (Spring 2024)

Upcoming courses (AY 24-25)

DATA 0150 (First Year Seminar): Data Detectives: How to Think Like a Data Scientist (Fall 2024)
EEPS 1340: Machine Learning for the Earth and Environment (Spring 2025)

Past courses:

EEPS 1340 (previously 1960D): Machine Learning for the Earth and Environment (Fall 2023)
EEPS-DATA 1720: Tackling Climate Change with Machine Learning (Spring 2023)
EEPS 1960D: Machine Learning for the Earth and Environment (Spring 2022)
DATA 1010: Probability, Statistics, and Machine Learning (Fall 2021)
EEPS 1960D: Machine Learning for the Earth and Environment (Spring 2021)

I have enjoyed teaching math ever since high school, when I coached my younger brother's Math Olympiad team. For me the most rewarding part of teaching is watching students develop a greater interest in and enthusiasm for mathematics and problem-solving.

I am inspired by teachers who can communicate their fascination with a subject through teaching, and those who actively connect material with their students' interests. These outstanding teachers have shaped my belief that instilling curiosity and passion in young scholars is ones of the greatest contributions a researcher can make.

You can read more about my experience as a teaching assistant at the following pages:

Fundamentals of Data Science Workshop series @ Pontificia Universidad Católica de Chile, Santiago, Chile (Jan 2018)

"It is the supreme art of the teacher to awaken joy in creative expression and knowledge."

- Albert Einstein

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