Research and Relevant Experience:
Specialising in interdisciplinary macroeconomics, I employ general equilibrium models and leverage artificial intelligence technologies to understand and simulate the decision-making processes of economic actors in my research.
My research contributes to the understanding of how economic agents' behaviours adapt to past experience and policy changes. It combines economics (general equilibrium models) with computer science/AI technologies and neuroscience research on decision-makings. For more information, please visit Research.
I was a PhD intern at the IMF. I was an economic consultant at the Asian Development Bank from Sep 2021 to Mar 2022, analysing debt dynamics and fiscal sustainability. I was an academic visitor at the Bank of England from Jan to Jun 2020. I was a co-investigator in a Rebuilding Macroeconomics project "Deep Learning in a New Keynesian Model of Banking and Money Creation".
Education:
Academic Letter Writers:
6 October 2022, Barcelona, Spain (Virtual)
Presentation title: Can an AI agent hit a moving target?
17 June 2022, Dallas, Texas, USA
Presentation title: Can an AI agent hit a moving target?
13:45 - 14:30 GMT+0, 4 November 2021
Presentation title: Learning to make consumption-saving decisions in a changing environment: an AI approach
10:00 - 11:50 BST, 2 September 2021
Presentation title: Can an AI agent hit a moving target?
17:20-17:35 CEST, 23 July 2021
Presentation title: Learning to make consumption-saving decisions in a changing environment: an AI approach
16:00-17:40 CEST, 16 June 2021, session B6
Presentation title: Learning to make consumption-saving decisions in a changing environment: an AI approach
20 June 2021, session D3.
Invited recorded session.
Presentation title: Artificial Intelligence in Macroeconomics.
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