I am a Research Assistant at Microsoft Research, NYC. I just finished a Masters of Computational Social Science program at the University of Chicago with my thesis research on using deep learning to estimate the memorability of images. As an undergraduate at Washington University in St. Louis, I majored in Physics and Economics, and minored in the Philosophy of Science. My work focuses on developing novel methods for social scientific concepts. My hobbies include analyzing video games, cooking, and writing short stories, although it’s been a while since I’ve written a good one.
This site is intended to be a place for me to post my projects, some personal, some academic. They are mostly computational in nature, but some are philosophical.
MA in Computational Social Science, 2021
University of Chicago
BA in Economics and Physics, 2019
Washington University in St. Louis
Provided Data Science Services to Various Clients. Responsibilities include:
Info Reimplemementing and testing Khosla et al.’s MemNet, and beyond. Goals The original MemNet has proved difficult to use and access in recent years. We would like to implement it so that we can use their work for our own research.
Last winter, I worked on a personal project I call ongaku (from the Japanese for ‘music’). This was an attempt to use manifold learning to create a metric space for music.
This is an ongoing project to create 4X-style simulations of civilizations in a simulated world. This is intended to be a long-term project, that I will add to over the course of a long period, when I have some free time.
This is a project to look into the question: How do indie musicians use visual signs to indicate their subgenre? The main functions are in bandcamp_webtools.py, and do basic web scraping.
Overview Ongaku is a method for creating playlists programmatically, using only the content of the song alone. It uses gammatone cepstral analysis to create unique matrices to represent each song. A gammatone cepstrum is similar to the more common spectra used for audio analysis.
Introduction: Fluxx is a mildly popular card game. All things considered, it’s actually fairly contentious. It has a score of 5.7 on Board Game Geek, but it has a serious cult following.