Isabelle Cohen is a PhD student in Economics. Prior to starting her PhD, she worked as a Research Associate at Duke University, and as a Research Manager at the Centre for Microfinance in Chennai, India. Her research interests are primary in development economics and public finance, particularly around impact evaluation, governance and international development aid.
I am PhD student of Public Policy and Biostatistics at UC Berkeley focusing on quantitative criminology. My qualifying paper Shedding Light on the Black Box: Machine Learning Applications to Criminal Justice Policy explores how statistical learning methods can be used to improve the life of individuals involved with the criminal justice system. I seek to combine machine learning tools and causal inference methods to understand and transform how society deals with crime.
