I am a second year Ph.D. student in the Statistics Department at the University of Washington.
Before UW, I completed my B.S. in Computer Science and Applied Mathematics at the University of Colorado at Boulder in May 2020.
I have also interned at Microsoft for three summers as a software engineer. At Microsoft, I worked on Mixed Reality and the Edge browser.
Broadly, I am interested in learning from complex systems with missing or hidden information. Specifically, I am interested in developing methods in networks and causal inference with applications to epidemiology and social science. Currently, I am working on:
Learning causal structures in the presence of latent variables (+ Ema Perković).
Policy evaluation given that we don't have the luxury of performing extensive randomized controlled trials (+ Tyler).
At CU, I worked with Dan Larremore on developing methods and software to automatically parse curricula vitae. Later, I completed my undergraduate thesis, advised by Dan, on identifying effects of node covariates in ranking and choice models.
Non-academically, I am interested in music - both listening and playing.
I also like to read.
My most recent favorite fiction is The Wheel of Time series by Robert Jordan (later, Brandon Sanderson).
My most recent favorite non-fiction is The Language of Food by Dan Jurafsky.
I enjoy playing a good video game once in a while and my all-time favorites are Uncharted and The Witcher 3: Wild Hunt. Having spent four years in Boulder, I tend to enjoy climbing, biking, and running.
Since my early undergrad days, I have been maintaining a blog where I reflect on science, math, the world, and life.
My current/past projects (green) and academic interests (blue).
08 Aug 2022 - 🎙 I will be presenting our work (+Tyler) on contact tracing at JSM 2022 in Washington D.C.