Summary
Ying (Daisy) Zhuo is Chief Analytics Officer at Ground Truth Analytics and co-founding partner of Interpretable AI, bringing 14 years of experience building production-ready ML and prescriptive analytics for healthcare, banking, and agriculture. She holds a PhD in Operations Research from MIT where she developed methods like Optimal Imputation and robust classification frameworks that improved state-of-the-art performance in missing-data and uncertainty-aware modeling. Daisy combines rigorous academic research with hands-on impact—translating Bayesian and optimization-based approaches into deployed solutions for farmers, insurers, hospitals, and financial institutions. Her early consulting work at Analysis Group honed her skills in individualized medicine, cost-effectiveness modeling, and teaching R at scale, a background that informs her emphasis on interpretable, trusted AI. Based in Cambridge, Massachusetts, she uniquely bridges high-impact domain expertise and mathematically grounded algorithm design to deliver actionable, auditable analytics.
14 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD), Operations Research, 5.0/5.0, Doctor of Philosophy (PhD), Operations Research, 5.0/5.0 at Massachusetts Institute of Technology
B.A., Mathematics, Economics, Computer Science, 4.0/4.0, B.A., Mathematics, Economics, Computer Science, 4.0/4.0 at Middlebury College
English, Chinese, Japanese