Summary
Zixiao Shi is a Senior Data Scientist with a decade of experience applying ML, causal inference, and full-stack data engineering to product and building-science problems across startups, academia, and large tech (Coinbase, Meta, Shopify). He blends deep research (PhD in Smart Building Technology, 40+ peer-reviewed papers and two best-paper awards) with product impact—having scaled AI Studio to 100+ countries and 10x DAU and sped model evaluation cycles from weeks to days. His work spans ETL, anomaly detection, imputation, forecasting, and energy/building automation, and he has taught undergraduate and graduate courses while consulting on green-building projects. Notably, he built B2B software and reproducible pipelines that bridge rigorous experiment design with production ML, making him equally comfortable in notebooks, production code, and the classroom.
10 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (PhD), Smart Building Technology, Doctor of Philosophy (PhD), Smart Building Technology at Carleton University
MSCE, Architectural Engineering, MSCE, Architectural Engineering at Purdue University
Chinese, English