Dr. Ruodu Wang

Professor

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Biography

Professor Ruodu Wang's research interests primarily focus on quantitative risk management, covering fields such as actuarial science, financial engineering, operations research, probability, statistics, and economic theory. His current research includes several specific topics: risk measures, risk aggregation, dependence modeling using copulas, portfolio selection, diversification strategies, and risk sharing within the FinTech and InsurTech sectors. Furthermore, Professor Wang has contributed significantly to the academic community, serving as Co-Editor for the European Actuarial Journal and the ASTIN Bulletin - Journal of the International Actuarial Association. He has held multiple academic positions, including Assistant Professor, Associate Professor, and currently, Professor at the University of Waterloo. Additionally, he holds prestigious titles such as Canada Research Chair and Sun Life Fellow. He has received notable awards, including the Society of Actuaries Actuarial Science Early Career Award and has been elected as a Fellow of the Institute of Mathematical Statistics.

Research Interests

Experience

Professor

2022-01-01 — Present

University of Waterloo • Waterloo, Canada

Leading extensive research and academic programs in quantitative risk management.

Associate Professor

2017-01-01 — 2021-12-31

University of Waterloo • Waterloo, Canada

Contributed to research and teaching in the field of actuarial science.

Assistant Professor

2012-01-01 — 2016-12-31

University of Waterloo • Waterloo, Canada

Developed research programs in financial mathematics and related fields.

Awards

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SOA Actuarial Science Early Career Award

2021-01-01
#

Fellow of the Institute of Mathematical Statistics

2022-01-01

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.