I'm a former physicist turned computational and mathematical sociologist. I study the rising inequality in global scientific knowledge production and diffusion. I use topic models, social network analysis, and simulations and I focus on hierarchies, diversity, diffusion, and novelty in my work. My work has been featured in Nature Human Behaviour, Nature Communications, Social Networks, Journal of Informetrics, and Sociological Science. I'm an assistant professor at the University of Arizona's School of Sociology and School of Information, as well as a member of the applied math graduate interdisciplinary program (GIDP). Prior to Arizona, I was an assistant professor at the City University of New York, Queens College’s Department of Sociology, where I was the director of the data analytics and applied social research master’s program. I was also a lecturer and data science postdoctoral researcher at the University of California, Berkeley’s School of Information. I received my Ph.D. from Stanford, my master’s degrees from the Harvard Kennedy School and Columbia, and my B.Sc.Eng. from Duke. I'm the P.I. of a three-year National Science Foundation (NSF) grant (2020-2023) that studies the growing stratification in national influence in global scientific research and its implications on field innovation.