Summary
Taoran Ji is an assistant professor of computer science and machine learning researcher with 11 years of experience applying NLP, time-series, and graph-based methods to real-world problems. He has bridged academia and industry—publishing work on event detection and forecasting while leading AI/ML productization at Moody’s Analytics for explainable financial risk and adverse media screening. His research portfolio spans botnet and cyber-attack detection, emerging-technology horizon scanning, and multi-task Transformer models for entity and sentiment extraction. Skilled at turning unstructured data into actionable signals, he combines deep learning, GCNs, and anomaly detection with production-aware NLP pipelines. Based in Corpus Christi, Texas, he brings both classroom experience and hands-on industry leadership, uniquely fluent in moving models from research prototypes into explainable, regulated financial products. An often-overlooked strength is his track record of publishing applied solutions across venues like IJCAI, AAAI, CIKM and ASONAM while shepherding cross-functional engineering teams.
11 years of coding experience
7 years of employment as a software developer
Virginia Tech