About Me

I'm a current PhD Candidate/Researcher & Data Science Scholar alum @ Stanford University. Drawing on my background in data science and experimental psychology, my goal is to create next-generation human-machine interface solutions that enhance performance and well-being.

You can contact me at xua!at!stanford!dot!edu (delete the exclamation marks).

Background

My PhD research applies neuroimaging techniques to develop individual brain maps of motor skill learning, as well as to build software for supporting precision neuroscience (you can read more in the Research page). I've also previously worked in industry as a doctoral research intern in the Human-Centered AI division at leading automative company's research institute. During my internship, I led an applied behavioral data science project, where I developed and implemented statistical and machine learning models to explore potential product strategies.

Prior to Stanford, I worked as a data analyst at Penn Lifespan, Informatics, and Neuroimaging Center, where I used data science tools to help identify potential biomarkers of maladaptive neural states, such as chronic pain. Before that, I graduated from Brown University with a BSc in cognitive neuroscience, conducting research on the effects of performance feedback on fatigue and effort.

Outside of Work

I like starting random creative projects, both digitally and non-digitally. Recently, I've been playing around with making Visual Studio Code editor themes -- here's a Shogun (TV Show)-inspired theme that I'm also currently using.