Amir Sani

I am a Machine Learning doctoral student supervised by Rémi Munos and Alessandro Lazaric, a
s part of the SequeL Team at INRIA-Lille Nord-Europe, studying risk-averse resource allocation in sequential decision making under uncertainty. My research interests include decision theoretic risk, online learning and Bootstrapping time series. My publications include:

I have recently accepted a postdoctoral research position at the Paris School of Economics with Antoine Mandel to bring Machine Learning tools to the study of macroeconomic financial flows.