Development Work
Backend, full-stack and applied ML and AI projects.
View all →With a background in explainable AI, fairness, and computational social science, she works with large-scale data to make AI systems that make sense. She is currently a student at UT Austin, with research experience at UT Dallas and UT Austin's iSchool and professional experience from MIRA Safety and WIZE Computing Academy.
EXPERIENCE
UT Austin iSchool
Research Collaborator (w/ Prof. TeBlunthuis)
MIRA Safety
IT / AI Development Intern
WIZE Computing Academy
Summer Data Intern
UT Dallas
ALPS Research Intern (FOLD-R++ / s(CASP))
RESEARCH INTERESTS
Explainable AI (XAI)
Fairness & Bias Auditing
LLM Systems & Safety
Graph AI
Computational Social Science
Natural Language Processing
EDUCATION
UT Austin - B.S. Informatics, Human-Centered Data Science, Class of 2028
Backend, full-stack and applied ML and AI projects.
View all →Exploratory and applied data science and engineering work.
View all →Academic research on explainable and accountable AI systems.
View all →