About me

I’m a Ph.D. student at ETH Zürich’s Law, Economics, and Data Science Group under the supervision of professor Elliott Ash. I’m mainly interested in studying how algorithmic decision-making systems, when deployed in high-​stake environments (e.g. criminal law, credit scoring, job search), affect existing inequalities.

Before joining ETH Zürich I was a predoctoral researcher in economics and machine learning at 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. I have delivered practical courses on machine learning, natural language processing, and economics.

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 .