Teaching

I was fortunate to have teachers who took the time to make complex material approachable. Their efforts made a lasting difference, and I try to pay that forward in my own teaching. I don’t believe in trick questions or exams that are designed to make students fail. I believe in fair but challenging exams, with clear expectations set in advance so students know what it takes to pass. I also care deeply about educational equity. I believe that for many students one of the biggest challenges is not the subject matter itself, but learning the academic habitus: the implicit rules and expectations that shape university life. Below, I’ve compiled a set of resources I find valuable for making this academic culture more transparent and accessible.

Courses in 2025

• Undergrad: Academic Writing

  This course focuses on the fundamentals of academic writing.

• Undergrad: Basic Math for Data Science

  This course covers essential mathematical concepts for data science, including linear algebra, probability theory, and calculus.

Useful Links & Books

• Joschua Schimel Writing Science(PDF)
• Gaussian Processes for Machine Learning (PDF)
• An Economist’s Guide to Visualizing Data
• Well written PhD Survival Guide

LaTeX Templates

I have fun building LaTeX templates, and it makes my day when others find them useful.

• Academic Writing Template
• Math Lecture Notes Template
• CV Template