Hello, I'm
UNSW Business School, Sydney
Bridging traditional actuarial science with artificial intelligence
I am a PhD candidate at UNSW Business School, working under the supervision of Associate Professor Eric C.K. Cheung, Associate Professor Andrés Villegas Ramirez, and Professor Jae Kyung Woo.
My research focuses on the intersection of actuarial science and machine learning techniques. My work combines actuarial and data-driven methods to support fair and accurate decision-making. I have hands-on experience with Python and R, and I enjoy solving real-world problems using AI.
Beyond research, I am passionate about teaching and have served as a Teaching Assistant for multiple courses in actuarial data science, and AI applications in insurance.
Exploring the frontiers of actuarial science and machine learning
Empowering the next generation of actuaries and data scientists
Responsibilities: Prepare materials, teach tutorials, consultations, mark assignments, participate in marking final exams, and administrative tasks.
Statistical methods and their practical applications in real-world data analysis and inference.
Mathematical principles of investment analysis, portfolio theory, and financial calculations.
Mathematical optimization methods, linear programming, and decision analysis for business applications.
Fundamental concepts of insurance theory and mathematical foundations for insurance calculations.
UNSW Sydney, Australia
View my complete list of publications and citations on Google Scholar.
View on Google ScholarI'm always open to discussing research collaborations, opportunities, or just having a chat about actuarial science and machine learning.
School of Risk and Actuarial Studies
UNSW Business School
Sydney, NSW 2052, Australia