Dr. Tony Wirjanto

Professor

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Biography

Professor Tony Wirjanto is a highly respected academic in the field of Statistics and Actuarial Science at the University of Waterloo. He holds extensive expertise in econometrics and has been involved in multidisciplinary research that encompasses various aspects of computational finance, climate risk, and portfolio optimization. His significant contributions include a paradigm shift in applying AI to cybersecurity, alongside innovative strategies addressing climate change impacts on finance. With a strong educational background from Queen's University, he is recognized for his comprehensive understanding of quantitative methodologies. Professor Wirjanto has published extensively in well-regarded journals and serves on editorial boards for multiple reputable publications. He actively participates in research grants and collaborates on projects aiming to enhance financial stability in changing climates. His work is characterized by a robust application of statistical analysis to economic forecasting and risk management across various domains.

Research Interests

Courses

Quantitative Foundations of Finance Topics in Financial Econometrics: Machine-Learning Approach to Quantitative Investing Financial Econometrics Quantitative Approach to Sustainable Finance

Requirements for University of Waterloo

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:90
Prerequisites
Honours Bachelor's degree in Psychology or related field Strong background in Statistics
Application Checklist
  • Transcripts
  • 3 Academic References
  • Statement of Interest
  • Supplementary Information Form
  • Resume/CV
Specialization Notes

Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.