My research agenda is focused on the study of energy markets (and other energy-intense industries) and how they interact with environmental and climate policies. I develop quantitative models and tools to study and quantify the impacts of various policies.

I have examined the impact of carbon prices on electricity markets, the exercise of market power by power plants in the presence of dynamic costs, the interaction between market power and leakage in cap-and-trade regulations, and the impacts of market power in sequential markets. I also study the unequal impacts of climate policies.

I put special emphasis on how machine learning tools can contribute to our analysis of these markets. For example, over the last years, I have published work studying the impact of energy efficiency policies using a diff-in-diff machine-learning framework. In my ERC grant, "ENECML: Understanding the Energy Transition with a Machine Learning Toolbox" I further expand this line of research.