People / Students / Class of 2026
Xinqi Huang graduated from the University of California, San Diego with dual Bachelor of Science degrees in Data Science and a Joint Major in Mathematics and Economics. Her academic background reflects a strong technical foundation in quantitative analysis, with applied experience in statistical modeling, economic reasoning, and machine learning.
As a research assistant at MixLab UCSD, Xinqi contributed to the WM-ABench project for evaluating 15 of the latest commercial and open-source Vision-Language Models (VLMs). She helped design and implement scalable pipelines to simulate counterfactual perception tasks across 23 dimensions to evaluate model reasoning capabilities. In another project with UCSD’s Undergraduate Economic Research Lab, she engineered multilingual audio features to assess the quality of entrepreneurship training programs in India, processing 10,000 pitch recordings across speech, emotion, and language dimensions to develop metrics for further analysis.
She is particularly interested in helping enterprises deploy financially sound, policy-driven AI agents that promote fairness and accessibility. Professionally, Xinqi interned as a data analyst at POIZON, where she automated reporting pipelines and archival systems for multiple legal teams. She also worked as a business analyst intern at Arthur D. Little, delivering data-driven insights to support industrial policy design using Python and clustering techniques. With a passion for both problem-solving and product-building, she is deeply committed to leveraging AI for socially impactful and analytically rigorous applications.
