Teaching

Purdue:

• Data Science Labs
• MA 349 - Spring 25
• MA 266 - Fall 24: content on Brightspace
• MA 161 - Fall 24: content on Brightspace
• MA 349 - Spring 24
• MA 303 - Spring 24
• MA 261 - Fall 23
• MA 162 - Spring 23
• MA 161 - Fall 22: course content on Brightspace
• MA 166 - Spring 22
• MA 303 - Summer 21
• MA 266 - Spring 21
• MA 303 - Fall 20
• MA 266 - Spring 20: course content on Blackboard

MIT

I was an instructor for:

• 2.087 - Engineering Math and ODEs (3 half-semesters)
• 2.086 - Numerical Computation for Mechanical Engineers (1 semester).

UCLA

I was a TA for:

• PIC 10A - Introduction to Programming C++ (3 quarters)
• MATH 164 - Optimization (2 quarters)
• MATH 33B - Differential Equations.

Training

In 2023, I was selected as a Teaching for Tomorrow Junior Fellow at Purdue.

I completed the Kaufman Teaching Certificate Program at the Teaching + Learning Lab at MIT in 2018, where I studied evidence-based teaching techniques.

I completed IMPACT X Access at Purdue University in 2020, where I learned how to adapt my teaching to an online format.