1/ Auction theory and its applications. I have worked in Treasury Bill auctions, EU-ETS auctions and renewvable energy electricity auctions.
2/ Dynamic programming and its application to economics. I have worked in different applications that involve learning over time of economic agents.
3/ Supervised Machine Learning and its applications to economics. I have studied problems of bankruptcy prediction, impact of environmental policies and an application to covid19 patients in hospitals.
I have worked in theoretical models, numerical methods and data. My major interest is the combination of theory and empirics.
Please, visit my profile at: