Xenia Mountrouidou is a Principal Cyber Data Scientist at Expel, where she develops anomaly detection solutions and improves SOC efficiency with machine learning. She brings experience across academia and industry.

Her research focuses on data-driven detection of malicious behavior — from network intrusion and IoT anomalies to adversarial patterns. She works across the full ML pipeline: exploratory data analysis, feature engineering from raw packet captures and time series, classical classifiers, and LLM fine-tuning for security classification. She holds a PhD in Computer Science from North Carolina State University.

Xenia has authored scholarly papers on intrusion detection and IoT security metrics, and regularly presents at academic and industry conferences including SANS AI, BSides, and Cackalackycon.