Summary
Audrey Der is an AI Scientist with nine years of experience building ML-first solutions, currently focused on AutoML, data quality forecasting, anomaly detection, and out-of-distribution modeling at Intuit. She earned a PhD in Computer Science from UC Riverside under Prof. Eamonn Keogh, bringing deep expertise in time series data mining to production-grade tooling. As a founding data scientist and technical lead at Neuralix she translated client needs into deployable proofs of concept across heavy-industry domains, led small agile teams, and co-authored academic work. Known for bridging rigorous research with pragmatic product outcomes, she also mentors early-career researchers and has a track record of shortening project cycles through process and UX improvements. Based in Mountain View, she pairs academic depth with hands-on consulting experience in regulated, data-intensive environments.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, Riverside