Since then, I developed a machine learning solution for categorizing and recommending high impact articles for the Centers for Disease Control and Prevention (CDC) Stephen B. Thacker Library, built novel domain-specific word embedding and entity matching pipelines for Intel Corporation, conducted research on the automated summarization of long-form scientific articles at The Toyota Technological Institute at Chicago, received the Liew Family Research Fellowship for a project developing a novel adaptive system for summarizing and simplifying complex texts for user-specific needs, developed the BetterBottle, a bluetooth-based system for automatically logging (via water level sensor) and communicating the amount of water consumed to a water tracking app or wearable, and created a novel framework to enable flexible and robust Automated Machine Learning on raw text data at Massachussetts Institute of Technology (MIT) Lincoln Laboratory. My recent work at MIT focused on using state-of-the-art language models and zero-shot and few-shot learning techniques in authorship profiling from text and other tasks relevant to AI-assisted decision making. I also developed an AI social game, Songs No One Asked For, for generating song lyrics based on user input.
In and out of tech, I'm always exploring new trajectories, discovering new interests, and beginning new pursuits. Some highlights include co-authoring a paper on the National Amyotrophic Lateral Sclerosis (ALS) Registry in the Morbidity and Mortality Weekly Report (MMWR), singing (she made a soundcloud of phone recordings of ukulele covers at the insistence of a few of her friends), making art, volunteering for Peer Health Exchange, and serving as Communications Director on the board of CompileHer, a non-for-profit University of Chicago student-run organization that seeks to engage middle school girls in hands-on computer science activities in an effort to close the technology gender gap. We were recently acknowledged by the Obama Foundation.