Dr. Xiongcai Cai, PhD In AI
About Dr. Xiongcai Cai, PhD In AI
Dr. Xiongcai Cai is a Lead Data Scientist at QBE Insurance and an Adjunct Senior Lecturer at UNSW, with extensive experience in data science and machine learning. He has contributed to various academic and industry roles, focusing on improving underwriting, pricing, and claims performance through analytical models.
Work at QBE Insurance Group
Dr. Xiongcai Cai has served as the Lead Data Scientist at QBE Insurance since 2021. In this role, he leads analytical discussions focused on leveraging data science to explore innovative possibilities. He has developed analytical models aimed at enhancing underwriting, pricing, and claims performance. Dr. Cai collaborates with analytics partners to implement models and manage the requirements for model refreshing. He also guides and advises junior team members to promote knowledge sharing and best practices within the organization.
Education and Expertise
Dr. Cai holds a PhD in Artificial Intelligence from the University of New South Wales (UNSW), where he studied from 2004 to 2008. He also earned a Master of Computer Science from UNSW between 2002 and 2003. Prior to his studies at UNSW, he completed a degree in Software Engineering at Tsinghua University. His educational background provides a strong foundation for his expertise in data science and machine learning.
Background
Dr. Cai has a diverse professional background in data science and research. He began his career as a Research Assistant at the University of Newcastle in 2006. He has held various positions, including Research Fellow at UNSW, Senior Data Scientist at Smart Services CRC Pty Ltd, and Chief Data Scientist at Techcul. His experience also includes a role as a Data Scientist for the NSW Government. Dr. Cai has been involved in academia as an Adjunct Senior Lecturer at UNSW since 2015.
Achievements
Throughout his career, Dr. Cai has contributed to the field of data science through various roles and projects. At QBE Insurance, he has focused on building and prototyping analytical applications to test ideas and foster innovation. His previous work at UNSW involved machine learning and data science research, where he contributed to advancing knowledge in these areas. His leadership in analytical conversations at QBE reflects his commitment to driving data-driven decision-making.