I'm a second-year at UC Berkeley, studying Computer Science and Statistics. My research interests are primarily in machine learning and theoretical statistics, although I'm always interested in new pursuits.

I'm heavily invested in Berkeley's upcoming Data Science Initiative. This year, I'm developing, designing, and teaching the pilot course of Stat 140: Probability for Data Science

Professional Summary

Featured Projects


Bearχive is an automated scraped collection of tests and study guides for UC Berkeley STEM courses, pulling from HKN, TBP, and internal Math databases.


An experiment in large scale Student Performance Analytics: AnnPod is designed to help instructors identify critical topics by analyzing Piazza contributions and topics through time

To see more of my projects, visit the projects page or my Github.


TensorFlow: A Beginner's Guide

A simple guide from linear regression to convolutional neural networks in Tensorflow