teaching

I ❤️ teaching math and science, especially using code.

I have served as a teaching assistant, tutor, and volunteer at Penn and Stony Brook.

I most recently served as a TA for the Machine Learning for Materials Science class, for which I wrote and presented 📔 this Python notebook to explain the Random Forest algorithm.

In Summer 2020 I served as the TA for an accelerated summer session of Atomic Modeling in Materials Science, where I wrote 🎢 physics simulations in Python, troubleshooted student code, and met one-on-one with students to clarify computational physics concepts.

At Stony Brook, I worked Tuesday and Thursday nights as a Residential Tutor for Calculus I/II, Physics I/II, and Probability/Statistics. I also volunteered in the Physics Help Room, where I was the only undergrad to teach error analysis, kinematics, electricity and magnetism, and other introductory physics topics.

I’ve had the privilege to volunteer at a number of K-12 events including:

All of these experiences have shaped me as a scientist, communicator, and teacher. I am especially thankful for the kind people who run these programs and for all my students for being curious, enthusiastic, and open-minded!