Date3 August 2023 (Thursday)
Time15:00 – 16:30
Name of the activityBig Data x Actuarial Insurance
Introduction of activityParticipants 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 ActivitySeminar and sharing (Students and Alumni)
Medium of InstructionCantonese
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 / DepartmentDepartment 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

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