Daniel is a first-year Ph.D. student in Network Science. He has a background in Engineering Physics from the Autonomous University of Ciudad Juarez, in Mexico, where he worked on modeling evolutionary processes of pathogens using stochastic models for his undergraduate thesis. His research interests include developing mathematical and computational models that integrate complex sociotechnical structures with the evolutionary nature of pathogens to better understand the effects of evolution on the emergence and prevalence of epidemic outbreaks. In his free time, Daniel is an enthusiast of specialty coffee and competitive video games.