About

In works of labour, or of skill,
I would be busy too;
For Satan finds some mischief still,
For idle hands to do.
- Isaac Watts

I’m a PhD student at The Wharton School, where I study Statistics and Data Science. My interests span deep learning theory, neuroscience, and the statistics of both.

Before starting my PhD, I worked as a software engineer facilitating computational cognitive neuroscience research at Penn’s Computational Memory Lab. While working for the lab I finished a part-time engineering master’s in Data Science, which included a thesis supervised by Konrad Kording. I attended Penn for undergrad as well, majoring in Physics & Astronomy with a Concentration in Business and Technology, along with minors in English and Music.

I was drawn to statistics and machine learning by a desire to find my place in a world overwhelmed with data. There are lots of problems I’d like to tackle (probably too many), and you can read about some of my past work and current interests on the research page. I love thinking about the world both experientially and mathematically, and I honestly believe we need both perspectives to have any idea what’s going on around us.

You can check out my CV (PDF).

I’m always excited to learn something new or think through an idea together. Please send me an email if you’d like to chat or maybe collaborate on a project!