Economics · Data · Development

Ayodele Idowu

Economist & Data Scientist

My name is Ayodele Idowu. I am a Doctoral Researcher (PhD Candidate) in Economics at the Chair of Food Economics and Policy, University of Göttingen, working on a DFG-funded project on the interactions between standards, international trade, and commodity markets.

My research focuses on the interactions among international trade, trade-related environmental policy, and agricultural markets, examining how standards, regulations, and economic incentives shape international commodity markets and economic welfare across firms and developing and developed economies. I combine structural gravity models, quasi-experimental designs, and machine learning methods on large trade and geospatial datasets.

Before my doctorate, I worked as a Data Scientist at TNI Network Inc. (Canada) and as a Research Data Analyst at Novartis (Nigeria), building predictive models and analytics pipelines in Python, R, and SQL. I hold an MSc in Development Economics from the University of Göttingen as a DAAD Scholar, and a BSc (Hons) in Economics from the Federal University of Agriculture, Abeokuta, Nigeria.

Portrait of Ayodele Idowu
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R Python SQL / BigQuery Stata Power BI Causal Inference Machine Learning Panel Data NLP Geospatial Analysis MAXQDA Google Earth Engine

What I work on

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Applied Econometrics

Microeconometrics, causal inference, quasi-experimental designs and panel data methods in R, Stata and Python.

🌍

Development, Agriculture & Environment

Development economics, agricultural trade, food security, carbon policy and environmental economics.

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Data Science & Machine Learning

Reproducible pipelines, predictive models, NLP, dashboards and geospatial analytics at scale.

Selected projects

A few examples of ongoing and past work.

Economics + ML

Environmental Regulations & Agricultural Trade

Panel-data analysis of whether stricter EU environmental policies lead to carbon leakage via agri-food imports.

Digital Health

Digital Health & the Digital Divide

RA work on TB-focused digital health projects studying technology barriers and health worker facilitation.