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, 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 acknowledged by the Obama
Foundation.