Audrey Der

Audrey Der is a lead data scientist at Neuralix Inc., where she focuses on time series data mining and machine learning. Her work centers on human-in-the-loop frameworks for anomaly detection, pattern recognition, and event classification in operational data. She also leads the development of the company’s core machine learning library and oversees its intern program, designing tailored interview processes and project scopes.

Der holds BS and PhD degrees in computer science from the University of California, Riverside, under the guidance of Eamonn Keogh, known for pioneering the Matrix Profile technique. Her doctoral work includes the development of PUPAE, an explainable anomaly classification system, and PRCIS, an interpretable distance measure for long time series. She previously interned at Visa, where she contributed to synthetic time series generation methods and evaluated generative models for classification performance.