معرفی
Geneviève Gauthier is a Full Professor in the Department of Decision Sciences at HEC Montréal, a leading business school in Canada. She holds a Ph.D. in Mathematics from Carleton University and an M.Sc. in Mathematics from UQAM. As a member of the Study and Research Group on Decision Analysis (GERAD) and a researcher at the Interuniversity Center for Research in Organizational Analysis (CIRANO), she bridges academic research with practical applications in quantitative finance.
Her educational background includes:
- Ph.D. in Mathematics, Carleton University, Ottawa
- M.Sc. in Mathematics, Université du Québec à Montréal (UQAM)
Professor Gauthier specializes in financial engineering with expertise spanning stochastic calculus, probability and statistics, mathematical modeling, pricing, risk management, and credit risk. Her research focuses on developing advanced mathematical models for financial markets, with particular emphasis on option pricing, volatility modeling, and credit risk analysis. She integrates machine learning techniques with traditional quantitative methods to address complex financial problems, contributing significantly to both academic literature and industry practice.
Her recent publications demonstrate a strong trend toward integrating deep learning with traditional quantitative finance methods, particularly in hedging strategies and volatility surface modeling. She has made significant contributions to understanding the informational content of high-frequency option data and developing semi-closed-form solutions for complex derivatives. Her work spans energy markets, credit risk modeling, and the intersection of machine learning with traditional financial engineering approaches.
Professor Gauthier has received numerous prestigious awards recognizing her contributions to finance and statistics:
- The Canadian Derivatives Institute CDI Conference Best Discussion Award (2022)
- Research Professorship in Financial Engineering at HEC Montréal (2019-2028)
- SSC Award for Impact of Applied and Collaborative Work (2018)
- Best Paper Award on Derivatives from the Northern Finance Association (2017)
- Best paper award in the Accounting and Finance section at the World Business and Economics Research Conference (2012)
As an academic advisor, Professor Gauthier has supervised 69 students throughout her career, including 2 PhD candidates, 10 Master's theses, and 7 supervised projects in the last five years alone. Her PhD students have worked on advanced topics like multivariate stochastic volatility models and extreme events in financial markets, while her Master's students have explored areas ranging from VIX option pricing to electricity price forecasting. She teaches graduate courses in numerical methods, stochastic calculus, and machine learning applied to financial data.
Professor Gauthier is actively involved with research groups including GERAD (Group for Research on Decision Analysis) and CIRANO (Centre for Interuniversity Research and Analysis on Organizations), where she collaborates with interdisciplinary teams to advance quantitative methods in finance and risk management. Her work often bridges theoretical developments with practical applications in the financial industry.
