Zubin JelvehAssistant Professor
Dr. Jelveh, an expert in data science for public policy, record linkage, and the science of science, joined the iSchool in January 2021 as a former research director at Crime Lab New York looking at the role of prediction in the criminal justice system. At Crime Lab New York, a University of Chicago Research Institute, Dr. Jelveh partnered with civic and community leaders to design, test, and scale promising programs and policies to reduce violence and the harms associated with the criminal justice system.
Dr. Jelveh’s research connects techniques from machine learning to problems in the social sciences. He is currently developing and evaluating the impact of prediction models in the areas of domestic violence and gun violence with the objective of improving outcomes. He is also developing record linkage algorithms that are tailored for the unique features of criminal justice data. Dr. Jelveh additionally studies how science gets made, specifically the incentives that drive how research is presented.
Prior to entering the data science field, Dr. Jelveh was a journalist covering economics for outlets like The New York Times, Condé Nast Portfolio, and The New Republic. He holds a BA in economics from the University of Chicago, an MA in quantitative methods in the social sciences from Columbia University, and a PhD in Computer Science from New York University.
Research & Focus Areas
- Computational Linguistics, Machine Learning, and Information Retrieval
- Data Science, Analytics, and Visualization