Summary
Christine Zhang is a founder and AI/ML researcher with nine years of experience building patient intelligence infrastructure and civic tech that bridges R&D and real-world impact. A Harvard alum and former CS50 teaching fellow, she has shipped full-stack products and research tools—from a React/Node audit platform that benchmarks GPT-4 against human raters to a Python LASSO package that outperforms scikit-learn. Christine leads startups (Intera, veil) and civic ventures (OYC) that automate complex public workflows, including AI-assisted grant applications selected by Unusual Ventures. She combines product-driven engineering with policy-savvy rubric design, mapping technical evaluations to frameworks like the EU AI Act. Notably, her work emphasizes auditable, prompt-driven evaluation methods that make opaque AI systems assessable by non-experts. Based in the Greater Seattle Area, she blends startup grit with academic rigor to move healthcare and public-sector AI from prototype to practice.
9 years of coding experience
Harvard University
Chinese, Spanish, English