Lillian X. is a seasoned machine learning professional with extensive experience in data science and engineering. Currently serving as a Senior Machine Learning Engineer at Intuit since March 2025, Lillian specializes in recommendation and personalization systems. Prior experience includes a role as Senior Machine Learning Data Scientist at Brex, where Lillian focused on developing scalable credit risk models from inception to production between September 2019 and March 2025. Lillian also worked as a Data Scientist at Moody's Analytics, developing a news ranking system for financial institutions from December 2017 to September 2019. Earlier roles include a Research Intern at PanAgora Asset Management, using XGBoost for predicting merger and acquisition events, and a Student Researcher at the NUS Risk Management Institute. Lillian holds a Master's Degree in Financial Engineering and a Master's Degree in Operations Research from the University of California, Berkeley, and a Bachelor of Science in Mathematics with a Quantitative Finance Specialization from the National University of Singapore.
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