Welcome to my website!
I am an Economist at the International Monetary Fund (IMF), where I have joined the Strategy, Policy, and Review Department as part of the Economist Program (EP).
My research interests include Econometrics, Big Data, Machine Learning/Text as Data (NLP), Large Language Models (LLMs), Generative AI, and Climate Finance. I am also interested in applying Artificial Intelligence methods to answer macro-finance and causal inference questions.
In August 2024, I was visiting the University of Chicago, Booth School of Business as a Young Scholar.
I received my PhD in Economics and Data Science from the University of Montreal. Before that, I earned an MSc in Statistics and Economics, and have worked as an economist at the Bank of Canada, the IMF, and the World Bank, as well as an AI Scientist in the IT Industry. Additionally, I served as an AI and Big Data Research Advisor to the UNDP and the Government of Benin. 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.
🚨 New! CanPol Tracker – I co-developed CanPol Tracker, a real-time AI-powered platform that monitors how Canadian media covers political parties and key election issues. It combines large language models (LLMs), NLP, and big data tools to decode sentiment, framing, and issue salience across news sources.
Check it out here: https://canada-policy-tracker.vercel.app
Recent and Upcoming Talks:
Disclaimer: This is my personal website. The views expressed here do not necessarily represent the views of the IMF, its Executive Board, or IMF management.