Maxim Fedotov

MRes student, UPF

Master's Degree in Data Science, Barcelona School of Economics

Research interests

  • Causal inference
  • Bayesian Inference
  • Machine Learning
  • Quasi-Experimental Design
  • Mechanism Design
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Maxim Fedotov is a researcher for the Statistics Group of Universitat Pompeu Fabra, which he accessed following his Master’s Degree in Data Science, completed at the Barcelona School of Economics (2022). He holds a BSc in Economics from the Lomonosov Moscow State Universiy (2021).

His Master’s thesis “Sequential Monte Carlo for Approximate Variable Selection in Generalized Linear Models” encompassed many of his research interests, including techniques and methods such as Causal Inference, Bayesian Inference, Machine Learning, Quasi-Experimental Design and Mechanism Design.

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