I am a research fellow at The Alan Turing Institute. I enjoy studying problems that involve economic behavior and institutions. Currently, I am working on topics related to firm-labor dynamics, political behavior, economic development and inequality. My main interest lies in building models with explicit social mechanisms that can be used to inform policy. Usually, this involves computational simulations of multi-agent systems, complex networks and analysis of big data. My aim is to advance the computational social sciences and make them an integral part of the toolbox of every social scientist.


Uncovering Vote Trading Through Networks and Computation

Diffusing Workers in a Multiplex World

The Network Composition of Aggregate Unemployment

Understanding Unemployment in the Era of Big Data: Policy Informed by Data-Driven Theory

Labor Flows and the Aggregate Matching Function: A Network-Based Test Using Employer-Employee Matched Records

Employment Growth through Labor Flow Networks