Amir SANI



Reach me @
Amir Sani.com


http://scholar.google.fr/citations?user=9WT9rMYAAAAJ&hl=en&oi=ao



I am a postdoctoral researcher working with Antoine Mandel at the Maison des Sciences Économiques, Université Paris 1, Panthéon-Sorbonne, Paris School of Economics. I completed my PhD, Machine Learning for Decision Making Under Uncertainty, under the supervision of Rémi Munos and Alessandro Lazaric at INRIA Lille Nord Europe as part of the SequeL team.

My research interests revolve around the study of complex time series and data driven algorithms that can be used for policy modelling and evaluation in macroeconomics. I generally refer to this as quantitative macroeconomics as I focus on data driven quantitative methods.

My
machine learning publications include:
My research is part of the Distributed Global Financial Systems for Society (DOLFINS) Horizons 2020 project, which addresses the global challenge of making the financial system better serve society.

Special thanks to for sponsoring my research.