Hisam Sabouni is a clinical professor in the Department of Economic Sciences and co-director of the Computational Justice Lab. He is one of the youngest individuals in the country to receive a PhD in economics. He works closely with a number of companies on utilizing data science to enhance their operations. His research ranges from the creation of new consumer sentiment indices using computational linguistics techniques to the creation of algorithms for running large-scale gerrymandering simulations. The core of his work is to advance new computational methods throughout multiple disciplines in economics, and to generate non-traditional datasets from alternative sources to get new insights into classical problems. Sabouni received his BA in economics from Chapman University, and both his MA and PhD from Claremont Graduate University.
Data Driven Fundamental Factor Modeling, 2017.
Co-authored with Cameron Shelton. Optimal Gerrymandering.
Structural Break Detection, 2017.
Behavioral and Empirical Finance
Programming for the Social Sciences