My research is focused on understanding and modeling collective phenomena quantitatively, from first principles, and in an interdisciplinary way. Collective phenomena can be defined as the patterns of behavior displayed by systems constituted by many interacting elements, such as atoms of a gas, the population of a city and its myriad social relations, data packets traveling through a computer network, or the entirety of a workforce holding and/or changing jobs among employers. The behaviors that emerge in such systems are usually not simple additive effects: new patterns arise as a result of the collection of interactions. For example, social segregation and disparity arise when people of different characteristics come together in a single city, and data congestion occurs because of the presence of many packets of information trying to navigate the same network.