Summary
Xin Shuai is a Chief Technology Officer and data scientist with 17 years’ experience turning large-scale, heterogeneous user-generated data into actionable intelligence for recommendation, social inference, and financial analysis. He combines a PhD-level research background with production ML/NLP expertise—having boosted legal citation recommendation precision from 5% to 50% and increased document CTRs by 32% at Thomson Reuters, and led financial sentiment, expert-influence mining, and knowledge-graph work at Wissee. His research blends microscopic content ranking with macroscopic behavior inference (e.g., linking mobile call patterns to socioeconomic indicators), demonstrating both algorithmic rigor and real-world impact. Comfortable moving models from academic proof-of-concept to deployed pipelines, he excels at integrating network topology, temporal signals, and multi-modal features to improve retrieval and prediction. Based in Renton, WA, he pairs deep technical leadership with a track record of measurable product gains across media, legal, and finance domains.
16 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (PhD) Informatics, Doctor of Philosophy (PhD) Informatics at Indiana University Bloomington
Master's degree Information Science/Studies, Master's degree Information Science/Studies at Zhejiang University
English, Chinese