| Date | 3 August 2023 (Thursday) |
| Time | 15:00 – 16:30 |
| Name of the activity | Big Data x Actuarial Insurance |
| Introduction of activity | Participants can understand the application of data science and cutting-edge trends in insurance technology through the sharing by teachers, guest speaker and students. In the sharing, we will let you know: • How Big data can help a company to increase their market share? • Application of data analysis • Actuarial Frontier & Application of InsurTech • University life in HSUHK • Tips in professional examination |
| Format of Activity | Seminar and sharing (Students and Alumni) |
| Medium of Instruction | Cantonese |
| Introduction to Instructor(s) | Dr Benson Lam Associate Professor Department of Mathematics, Statistics and Insurance Dr Lam received both BSc and MPhil in Mathematical Science from the Department of Mathematics at the Hong Kong Baptist University. Then, he went to City University of Hong Kong to peruse his PhD degree. Upon his completion of PhD degree, he joined Griffith University (Brisbane, Australia) as a researcher for two years. Dr Lam has strong research skills and he is the first author of 10 referred journals and 14 international conference papers including two of the publications in IEEE Transactions on Medical Imaging (Rank No. 3 among all IEEE Transactions journals; Tier A* journal) Dr Becky Lee Associate Professor Department of Mathematics, Statistics and Insurance Dr Lee received her BSc In Actuarial Science from the University of Hong Kong. She obtained her MMath degree in Actuarial Science and PhD degree in Actuarial Science from University of Waterloo. Guest Speaker Mr. Chan Wing Sang Senior Data Scientist, Datality Lab Limited Student Sharing Ms. Chan Tsz Ching, Iris Year 4 student of Bachelor of Science (Honours) in Actuarial Studies and Insurance |
| School / Department | Department of Mathematics, Statistics and Insurance |
| Related Undergraduate Programme(s) | Bachelor of Science (Honours) in Actuarial Studies and Insurance Bachelor of Science (Honours) in Data Science and Business Intelligence |
| Quota | 35 |
