About me

I am an economist and data scientist with experience using methods from machine learning, natural language processing, and causal inference to contribute to the understanding of problems in a wide variety of fields. At the moment, I am particularly drawn to studying the risks introduced by deploying algorithmic decision-making systems in high-​stake environments (e.g. labor market, criminal law, credit scoring) and developing methods to mitigate these risks.

Currently, I work as a Ph.D. researcher at the Data Science, Economics, and Law group at ETH Zürich where I am also a member of the AI Center. Before joining ETH Zürich, I was a predoctoral researcher in machine learning, NLP, and economics at UCL and the Barcelona School of Economics where I worked with Professor Stephen Hansen to build models and tools for the use of unstructured data in economic analysis.

I hold an M.Sc. in Data Science from the Barcelona School of Economics and a B.A. in Economics from Universidad de los Andes. Back in Colombia, I worked in the international development sector doing data analysis to inform the design of social programs.

I also enjoy teaching and have delivered multiple courses on machine learning, natural language processing, and causal inference. Check my teaching page for more info.

If you happen to have any overlapping interestes or just want to reach out, you can contact me at: yabran [dot] muvdi [at] gmail [dot] com .