Juan has been studying the behavior of algorithms in transportation to expand accessibility, reduce emissions, and lower the costs of on-demand mobility technologies. As a Fellow, Juan will pivot from mathematics to computer science to lay the theoretical foundations for algorithmic social justice in public policy to address large scale decision making.