Summary
Lynn Miller is a data scientist and seasoned Oracle DBA turned academic, combining a PhD in Computer Science with 18+ years of customer-facing consulting and hands-on engineering across Oracle, cloud and big-data stacks. She has led and delivered over 120 data projects—many end-to-end—and built high-availability, performance-tuned database systems for major banks, telcos and government agencies. Equally comfortable in production ops and research, she has six years designing predictive ML models from large datasets and a PhD focused on extracting environmental indicators from satellite imagery. Lynn’s technical breadth spans SQL, PL/SQL, Python, R, Java, Hadoop/Spark and AWS, and she has deep expertise in Oracle RAC, Dataguard and performance tuning. Notably, she blends automation and pragmatic product design—having automated compliance workflows and test data refreshes to speed delivery in enterprise settings. Based in Melbourne, she now lectures and researches at Monash University, bringing industry-hardened engineering to applied machine learning problems.
8 years of coding experience
2 years of employment as a software developer
BSc (Hons) Computer Science, BSc (Hons) Computer Science at University of Canterbury
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Monash University