Xiao Yan is a seasoned machine learning engineer with extensive experience in developing and optimizing machine learning models for various applications. Currently employed at Meta as a Machine Learning Engineer in Monetization GenAI, Xiao Yan focuses on creating generative models to enhance ad conversion processes and analyzing user behavior data to improve monetization strategies. Previous roles include working at Instagram as a Software Engineer, contributing to user engagement and social graph expansion, and leading machine learning initiatives at Nextdoor. Xiao Yan's background as a Research Scientist at UCLA includes publishing eight peer-reviewed papers and presenting at numerous academic conferences. In addition to academic achievements, Xiao Yan has significant industry experience, including projects at LinkedIn and Scalable Analytics Institute, showcasing expertise in natural language processing, deep learning, and mentoring emerging engineers. Education credentials encompass a Bachelor's degree in Science from Peking University, a Master's degree in Computer Science, and a PhD in Pharmacology from the University of California, Los Angeles.
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