Yavor Kovachev is a post-doctoral scholar working for the Macro Finance Research Program. His main research interests lie at the intersection of machine learning, asset pricing and continuous time finance. He holds a PhD from the Stockholm School of Economics and a MSc in financial mathematics from Uppsala University.