Olivia Fan is a highly accomplished machine learning engineer currently working at SAS since May 2023, where notable achievements include enhancing the accuracy of core NLP Text Analytics models beyond 95% and optimizing model size by 86% on UNIX systems. Concurrently, Olivia serves as a research assistant at The Alberts Lab and as a data scientist at Amy Herring's Lab, utilizing R and SQL for data analysis and advanced statistical methods to study behavioral patterns and health effects of chemical exposures. Past contributions also include a role as a Multi-Objective Reinforcement Learning research assistant at Duke University, where innovative adaptations of the Q Learning algorithm were proposed. In addition to academic experience, Olivia is pursuing a Master of Science in Data Science at Stanford University, having previously earned dual bachelor's degrees in Statistics and Computer Science from Duke University, both with a perfect GPA.
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