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Jessica Leung

Photo of Jessica Leung

BCom (Hons) Sydney
PhD Candidate; Head Tutor (Curriculum Development) Teaching Focused

The University of Sydney
NSW 2006 Australia


Bio

Jessica Wai Yin Leung is an associate lecturer and a PhD candidate in the Discipline of Business Analytics at the University of Sydney Business School. Jessica received her Honours degree in Business Analytics at the University of Sydney in 2016. Her current research focus in on applications of optimization and machine learning algorithms on insurance data.

She currently teaches undergraduate courses in Business Statistics, Management Science and Foundations of Business Analytics. Her commitment to teaching has been recognised with multiple Dean’s Citations for tutoring in 2015 S2, 2017 S1 and 2017 S2, and nominations for the Business School Excellence in Tutoring awards. In 2017, she received the Discipline of Business Analytics Teaching Excellence Award.


Thesis working title

Predictive modelling in insurance

The increasing popularity of Big Data Analytics is revolutionising the risk modelling (and thus premium pricing strategies) of the insurance industry. Instead of using traditional methods that rely on proxies in risk modelling, premium prices can be ‘tailor-made’ for policy holders based on individual attributes. However, valuable information is often hidden behind data that are noisy, volatile and massive in dimensionality and size. The aim of this research is to provide novel tools for practitioners in extracting relevant information from the voluminous data for premium pricing through machine learning and optimisation algorithms.

Supervisors: Dmytro Matsypura, Boris Choy, Junbin Gao

Selected publications

2017

Book Chapter

Leung J, and Choy S (2017) Robustness in Forecasting Future Liabilities in Insurance Robustness in Econometrics; Springer, Cham, 187-200. [More Information]

Recent Units Taught

  • BUSS1020 Quantitative Business Analysis

  • QBUS1040 Foundations of Business Analytics

  • QBUS2310 Management Science