About

Shaodan Zhai is a Senior Staff Machine Learning Engineer at Twitter, where she leads the relevance/machine learning works of the push recommendation team. With over 10 years of experience in the field, she is an expert in machine learning and research science. Prior to joining Twitter, Shaodan worked as a research intern at Microsoft and a research assistant at Wright State University. She holds a Doctor of Philosophy (Ph.D.) in Computer Science from Wright State University, where she conducted research in the field of machine learning. At Twitter, Shaodan is responsible for leading the development of algorithms and models that drive the push recommendation system. She leverages her expertise in machine learning and research science to develop innovative solutions that improve the user experience. Shaodan is skilled in a variety of technologies and tools related to machine learning, and she has a strong track record of delivering results. She is a dedicated and passionate professional who is committed to staying on the cutting edge of her field. Overall, Shaodan is a highly experienced and skilled machine learning engineer who has made significant contributions to the field. Her expertise and leadership at Twitter have helped to improve the relevance of the push recommendation system, and she continues to drive innovation in the field of machine learning.