I am a third-year PhD student in Computer Science at the University of California, Los Angeles advised by Kai-Wei Chang. I am supported by the Eugene V. Cota-Robles Fellowship. My research focuses on (1) the application of NLP methodologies for bias mitigation and quantification in social science, (2) the study of dialectical biases in existing machine learning systems, and (3) the assessment and development of community grounded content moderation approaches. This culminates under the goal of engaging with, studying, assessing, and critiquing socio-technical systems that people engage with in their everyday lives as well as developing more inclusive and equitable systems.
Previously, I received my Bachelor of Science in Computer Science and Mathematics with a minor in Physics from Emory University in 2022.
An Analysis of Large Language Models for African American English Speaking Children’s Oral Language Assessment Alexander Johnson, Christina Chance, Kaycee Stiemke, Hariram Veeramani, Natarajan Balaji Shankar, Abeer Alwan [PDF] CORAAL QA: A Dataset and Framework for Open Domain Spontaneous Speech Question Answering from Long Audio Files Natarajan Balaji Shankar, Alexander Johnson, Christina Chance, Hariram Veeramani, Abeer Alwan [ICASSP 2024] Will the Prince Get True Love’s Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts Christina Chance, Da Yin, Dakuo Wang, Kai-Wei Chang [PDF] Leveraging Language Models to Detect Greenwashing Avalon Vinella*, Margaret Capetz*, Rebecca Pattichis*, Christina Chance*, Reshmi Ghosh [PDF] Zoom Audio Transcription Accuracy for African American Vernacular English Christina Chance, Dorian Arnold Honor's Thesis (High Honors) [PDF]
Acknowledgement: This website uses the design and template from Shiori Sagawa and Amita Kamath.