Xin (Mark) Zhou is a seasoned professional in quantitative research and data science with a strong focus on advertising measurement and machine learning. Xin's career includes significant contributions at Meta, starting as a Quantitative Researcher in Ads Measurement Research from November 2016 to January 2020, and continuing as a Research Scientist in Ads Machine Learning Research since January 2020, where advanced methodologies such as Graph Learning and Domain Generalization are leveraged for Ads Ranking Model Research. Prior experience at Ninah Consulting and Publicis Groupe involved developing a Probabilistic Multi-Touchpoint Digital Attribution Model and a cloud-based Digital Attribution Model pipeline on AWS. Xin holds a Master’s degree from Lehigh University and a Bachelor’s degree from Capital Normal University, complemented by a foundational education from Beijing No.4 High School.
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