I am a Visiting Associate Professor in the Department of Industrial Engineering and Operations Research at UC Berkeley. I do research in Applied Probability, in particular, I work on problems involving heavy-tailed phenomena. My current work is focused on the analysis of information ranking algorithms and their large-scale behavior, which is closely related to the study of the solutions to certain stochastic recursions constructed on weighted branching processes. I am also interested in the analysis of complex networks, in particular, scale-free random graphs such as those used to model the web and other social networks. Some of my ongoing projects include the study of queueing networks with parallel servers and synchronization constraints and the development of efficient simulation algorithms for computing the solutions to branching distributional equations.
You can find a description of some of my ongoing projects here.
I was born in Mexico City, and lived there until 2001, when I came to the United States to start my doctoral studies. My bachelor's degree is in Applied Mathematics from the "Instituto Tecnológico Autónomo de México (ITAM)", and I hold a master's degree in Statistics from Stanford University. I obtained my PhD from the Department of Management Science and Engineering at Stanford University, where I worked on problems related to the single-server queue with heavy-tailed processing times. From 2006 to 2014 I was an Assistant Professor in the Department of Industrial Engineering and Operations Research at Columbia University, and an Associate Professor from 2014 to 2016.
Department of Industrial Engineering and Operations Research
4125 Etcheverry Hall
Berkeley, CA 94720