I am a PhD student in Computer Science at Stanford University (starting in 2020) focusing on Machine Learning theory and education. My research interests are in probabilistic reasoning, foundations of machine learning, and building intelligent systems that help humans learn.
I completed my Bachelor's in Mathematics at Stanford University advised by Kannan Soundararajan. As an undergraduate, I did research with Stefano Ermon and Chris Piech. I also lectured a class on standard C++ programming!
I love teaching and thinking about problems that make my brain hurt. I keep a blog on the side where I write about random Maths, CS, and Philosophy related gems that come my way.
This is a compilation of various code snippets and programs I have written over the years. Examples include some interesting data structures, algorithms, interview problems, as well as other utility functions that I've found use for from time to time.