Undergraduate at Rice University pursuing a dual degree in Computer Science and Mathematics with a strong foundation in machine learning, NLP, and quantitative analysis. Experienced in research on interpretable AI and LLM alignment through Rice’s SURF program. Skilled in Python, algorithm design, and data analysis. Actively building tools for ethical, transparent AI systems with real-world impact.
Conducting research on interpretability techniques for large language models to improve transparency and alignment with human values. Developing Python-based tools to analyze model behavior and support ethical, goal-consistent outputs in real-world applications.
Performed western blots, bicinchoninic acid (BCA) assays, immunohistochemistry, and tissue staining and mounting in a Parkinson’s Disease lab researching potential ketamine treatment.
Assisted with Anatomy and Chemistry courses. Set up chemistry experiments, supervised animal dissections, and graded exams.
Analyzed data on water usage in Pima County. Calculated annual revenue from reclaimed water, water plants, and sewage systems.