Los Angeles, California, United States
I am a Computer Science PhD candidate at the University of Southern California, researching in the USC Center for Artificial Intelligence in Society (CAIS) as an NSF Graduate Research Fellow. I am interested in using optimization approaches to build robust and interpretable machine learning models for social good applications. I strive to integrate a social conscience into my passions for research and teaching, and I hope to bring these values throughout and beyond my academic career.
Developing optimization-based methods for learning robust and interpretable machine learning models in high-stakes domains. PhD student leader 2022-2024
Head Teaching Assistant for Introduction to Algorithms and Theory of Computing (CSCI 270, Fall 2024), with 230 undergraduate students enrolled. Leading a 115-student discussion section. Head TA for a team of 9 TAs and 2 professors.
Backend engineer for the Impact, Spend, and Customer Engagement/Ops teams, focusing on building products and services that connect Aspiration and its customers to their impact on society and the planet, and building internal administrative tools.
Team Lead for AMISTAD's ML as Search team, researching the implications of casting machine learning as a form of search, writing a journal article with collaborators in AMISTAD. Paper currently under review.
Researching and writing a paper on computer science and K-12 Common Core mathematics education, and creating tips for K-12 computer science educators (http://csteachingtips.org/)