Kim Trottier

Associate Professor, Accounting, Beedie School of Business at Simon Fraser University

Accounting, Business, Big data, Big data analytics, Advanced analytics, Innovative data, Machine learning

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Biography

Professor Trottier is an Associate Professor of Accounting at the Beedie School of Business. She holds a Masters degree and PhD in Accounting and Economics from the University of British Columbia, and a BCom from l’Université d’Ottawa. Her PhD covers archival research as well as mathematical modelling and econometrics. Her research spans several areas of the literature such as valuation models, event study methodology, experiments, behavioural studies, classification classification models, and topical issues in the banking and pharmaceutical industry. Her current focus is on forensics, analytics, big data, and machine learning. Trottier’s teaching experience ranges from theoretical to applied, across all levels of education from undergraduate to PhD students and Executive MBAs. With years spent in professional practice as a Chartered Accountant, Trottier brings real-world experience to her teaching and research, applying insight from her work as a financial analyst, consultant, manager, corporate controller, and external auditor in corporations ranging in size from $500 million to $270 billion in assets. She holds board positions at the Canadian Academic Accounting Association and at 460 MIC.

Expertise

  • Accounting
  • Business
  • Big data
  • Big data analytics
  • Advanced analytics
  • Innovative data
  • Machine learning