(Aruhan) RUI Shi

(Aruhan) RUI Shi(Aruhan) RUI Shi(Aruhan) RUI Shi
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(Aruhan) RUI Shi

(Aruhan) RUI Shi(Aruhan) RUI Shi(Aruhan) RUI Shi
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About ME

Hello and Welcome! I am a researcher in economics.

Research and Relevant Experience:

I specialise in applied artificial intelligence (AI) technologies, such as deep reinforcement learning algorithms, and develop Dynamic Stochastic General Equilibrium (DSGE) models. For more information, please visit Research. 


I am an Associate Economist at the ASEAN+3 Macroeconomic Research Office (AMRO). 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".  


All views expressed on this site are my own.    

Conferences

Expectations in Dynamic Macroeconomic Models

30 August - 1 September 2023, Vienna, Austria

Presentation title: AI for economic agent behaviours.

Barcelona School of Economics: 1st PhD Workshop on Expectations in Macroeconomics

6 October 2022, Barcelona, Spain (Virtual)

Presentation title: Can an AI agent hit a moving target?

Society for Computational Economics 28th International Conference

17 June 2022, Dallas, Texas, USA

Presentation title: Can an AI agent hit a moving target?

Bank of England Advanced analytics: new methods and applications for macroeconomic policy

13:45 - 14:30 GMT+0, 4 November 2021 

Presentation title:  Learning to make consumption-saving decisions in a changing environment: an AI approach

2021 MMF Annual Conference

10:00 - 11:50 BST, 2 September 2021 

Presentation title: Can an AI agent hit a moving target?

CESifo Area Conference: Macro, Money, and International Finance

17:20-17:35 CEST, 23 July 2021

Presentation title: Learning to make consumption-saving decisions in a changing environment: an AI approach

Society for Computational Economics 27th International Conference

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

The Chinese Economist Society Annual Conference

20 June 2021, session D3.

programme

The 2021 IEA World Congress

Invited recorded session. 

Presentation title: Artificial Intelligence in Macroeconomics.

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