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About me

I am a Data Scientist at the Discovery Science Team in Sensyne Health where we use AI techniques to find causal links in patient data.

I recently obtained my Ph.D. in Economics at Glasgow University and throughout that period I have been a PhD trainee and Research Analyst at the European Central Bank (ECB) .

My research interest mainly focusses on applying Natural Language Processing techniques to study the narratives embedded in the news and social media. The core of my research agenda consists in extracting valuable information from text (using for example topic modelling, word embeddings or sentiment analysis) and study how this information propagates over time and in which ways in might connect to the real economy.

I like sports such as surfing, sailing, fencing, climbing and skiing. I enjoy travelling and history.

Research interests:

  • Empirical Macroeconomics

  • Natural Language Processing

  • Machine Learning

  • API data

  • Complex dynamical systems

  • Causal inference with AI: Direct Acyclical Graphs

Email: andres.azqueta@gmail.com