Chloe Bi is an experienced professional specializing in machine learning and data science, with a career spanning various impactful roles. At Yummly, a subsidiary of Whirlpool Corporation, Chloe developed knowledge graphs for recipes and ingredients and optimized SEO and SEM strategies. Prior experience as a Data Scientist at Lyra Health included onboarding flow optimization and user churn prediction. Chloe served as a Quantitative Research Analyst at Acumen, LLC, providing analytical support for research projects and managing large datasets. Current work as a Software Engineer at Meta focuses on machine translation and generative AI. An academic background includes a Bachelor's in Econometrics and Statistics and a Master's in Economics from Boston University, as well as ongoing studies in Computer Science at the University of Cambridge. Additional roles involved research at the University of Cambridge and senior machine learning engineering at LinkedIn.
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