Xin Shuai

Xin Shuai is a seasoned professional with a strong background in mining large-scale heterogeneous user-generated data such as social media messages, call detail records, and photo tags to extract relevant information for various applications.

He specializes in utilizing data to understand users' interests, opinions, and behaviors, enabling content ranking and recommendation at both microscopic and macroscopic levels.

Xin Shuai holds a Doctor of Philosophy (PhD) in Informatics from Indiana University Bloomington, where he achieved a remarkable GPA of 3.88. He also pursued a Master's degree in Information Science/Studies with a GPA of 3.9 and a Bachelor's degree in Information Science/Studies with a GPA of 3.88 from Zhejiang University.

With a wealth of experience, Xin Shuai has held prominent positions such as Senior Data Scientist at Wissee, Data/Research Scientist at Thomson Reuters, and researcher roles at renowned companies like Yahoo!, Avaya, and Google. He has also contributed as an intern at Google and NESCent, showcasing his diverse exposure to industry leaders and academic institutions.

His expertise lies in extracting insights from user-generated data to derive actionable recommendations, enhance user experience, and understand human behavior trends through statistical analysis and data mining techniques.

Xin Shuai's academic achievements, coupled with his professional experience in various data science roles, position him as a sought-after expert in the field of information science and data analytics.