Welcome to my website! I am a PhD Candidate in Economics and Data Science at the University of Montreal.


My research interests include Econometrics, Big Data, Machine Learning/Text as Data (NLP), Large Language Models (LLMs), and Climate Finance. I am also interested in applying Artificial Intelligence methods to answer macro-finance and causal inference questions.


I hold an MSc. in Statistics and Economics, and have worked as an economist at the Bank of Canada, IMF, and World Bank, as well as an AI Scientist in the IT Industry. I have been honored as a Rising Star in Management Science & Engineering and also recognized as a Becker Friedman Institute Macro-Finance Research Young Scholar.


Please see my CV for more details.


Recent and Upcoming Talks:

  • Society for Economic Dynamics Annual Meeting (SED 2024, Barcelona)
  • International Association for Applied Econometrics (IAAE) Annual Conference (Greece, 2024)
  • BFI Macro-Finance Research Program Summer Session for Young Scholars (Chicago, August 2024)
  • Stanford University "Rising Stars" Workshop (California, April 2024)
  • ECONDAT 2024 spring meeting: Economics with Nontraditional Data and Analytical Tools (London, May 2024)
  • 17th Financial Risks International Forum on "Big Data and Algorithmic Finance" (Paris, March 2024)
  • Bank of Canada CEA 2024 Session: "Monetary Policy and Expectations: Lessons from Survey and Big Data"
  • Bank of Canada Data Science Research Group Seminar
  • Bank of England (BoE)
  • 2023 NBER-NSF Time Series Conference
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    Contacts:

    Email: firmin.ayivodji@umontreal.ca

    Phone: (514) 343-6111 #37386

    Office: Lionel-Groulx Building, Office C-6070-10

    3150 Jean brillant, Université de Montréal

    Montréal, Québec, H3T 1N8, Canada.