Philip Nadler
Imperial College LondonPhilip is a final year PhD candidate at Imperial College in the Department of Computing. His research is at the intersection of econometrics and computer science with a particular interest in the combination of econometric methodology and machine learning to improve high-dimensional inference. His broader research interests lie in the fields of data assimilation, machine learning, high dimensional time series analysis, financial econometrics and deep learning.
Thomas Neuber
University of BonnI am a Ph.D. candidate at the Bonn Graduate School of Economics with a broad interest in applied microeconomics and empirical methodology. Most of my research concerns behavioral mechanisms underlying cooperative and other-regarding behavior. I conduct experiments in the lab or online, and I work with survey data. I will be on the job market in 2020/21.
Giang Nghiem
Leibniz University HannoverI am a postdoc at Leibniz University Hannover. I completed my Ph.D. in Economics from Goethe University Frankfurt, Germany and hold an M.A. in Policy Economics at Williams College, USA. In my research, I use observational and experimental data to study questions in macroeconomics and household finance. I am particularly interested in studying the heterogeneous effects of households' macroeconomic expectations and macroeconomic experiences on consumption and saving behavior.