Professional summary

I am a 3rd-year PhD candidate in Economics at UCL. My research examines how automation and AI adoption transform firm organisation, worker trajectories, and policy design, with a particular focus on emerging economies. I combine structural modelling, causal inference, and computational social science to deliver evidence that travels from academic theory to applied impact.

Beyond research, I curate cross-disciplinary collaborations and mentor students building reproducible data pipelines through project clinics across UCL.

Research interests

  • Automation, labour markets, and organisational adaptation
  • Development and urban economics
  • Computational policy design & causal inference

Academic leadership

Organise UCL economics data clinics, coaching student teams on collaborative workflows, version control, and evidence translation.

Where to find my work

Academic formation

2022 �2023

MRes in Economics

University College London (UCL), London, UK

  • Supervisor: Prof. Alan Olivi
  • Dissertation: Automation, Offshoring, and the Prospects for Inclusive Growth in Emerging Economies
2020 �2022

MSc in Economics (2-year programme)

London School of Economics (LSE), London, UK

  • Supervisor: Prof. Frank Cowell
  • Dissertation: A World without Jobs? The Joint Effect of Automation and Aging
2016 �2020

BSc (Hons) in International Economics & Trade

University of Nottingham Ningbo, China

  • Supervisor: Prof. Minghai Zhou
  • Dissertation: Artificial Intelligence, Population Aging and Labour Market Outcomes across Income Groups

Evidence-building roles

2023 �Present

Postdoctoral Research Fellow

Department of Economics, [University]

  • Lead computational economics projects on market design and automation.
  • Co-design partnerships translating research into policy experiments.
2021 �2023

Research Assistant

Centre for Economic Policy Research

  • Built dynamic models to analyse labour-market transitions under technology shocks.
  • Developed simulation tools for scenario planning across policy regimes.
Summer 2020

Research Intern

Economic Research Department, Central Bank

  • Applied machine learning to financial market microstructure data.
  • Co-authored policy brief on algorithmic trading and market stability.

Courses & student partnerships

2024 �2025

Teaching Assistant

University College London, Department of Economics

  • ECON0042 Independent Research Project (Final Year) â€?Instructor: Ramin Nassehi
  • ECON0012 Advanced Economic Skills Lab (Final Year) â€?Instructor: Ramin Nassehi
2023 �2024

Teaching Assistant

University College London, Department of Economics

  • ECON0001 Economics of Financial Markets (Final Year) â€?Instructor: Prof. Paolo Zeppini
  • ECON0063 Topics in Money and Finance (Masters) â€?Instructor: Prof. Ming Yang
2021 �2022

Teaching Assistant (Note Transcription)

London School of Economics, Department of Economics

Recognition for teaching & research excellence

2024

Best MSc optional modules TA

UCL

2023 �Present

Departmental Studentship

UCL

2021

Excellence in Macroeconomics Award for Outstanding Knowledge Sharing

LSE

2020

Excellence in Macroeconomics Award for Outstanding Knowledge Sharing

LSE

2020

Nottingham Advantage Award

University of Nottingham Ningbo, China

2020

Provincial Scholarship

Zhejiang Province, China

2019

Dean's Scholarship

University of Nottingham Ningbo, China

2018

Head's Scholarship

University of Nottingham Ningbo, China

2017

Provost's Scholarship

University of Nottingham Ningbo, China

Toolbox for research & teaching

Technical

Python R SQL Stata TensorFlow PyTorch Git LaTeX

Economics & analytics

Applied microeconometrics Causal inference Structural modelling Machine learning Survey design Data visualisation

Languages

English (fluent) Mandarin (native)