I am a PhD candidate in Economics and Statistics at MIT advised by Alberto Abadie, Anna Mikusheva and Tobias Salz. My goal as a researcher is to design econometric and machine learning tools that improve policy making while being transparent and robust to different modeling assumptions. I apply these methods to understand complex interactions in the digital economy, such as in online platforms, in which data driven decision making plays a key role. Prior to joining MIT, I obtained a BSc. in Econometrics and Mathematical Economics from LSE and I worked as a research professional at the University of Chicago under Eric Budish.