David Soriano-Paños

Centre: Instituto Gulbenkian de Ciência
Institution: Instituto Gulbenkian de Ciência. Oeiras, Portugal
Position: Post doc
E-mail: sorianopanos@gmail.com
Phone: 648454402
Profile:   Click here

Personal statement
I am David Soriano Paños, Juan de la Cierva researcher at Universitat Rovira i Virgili, and member of the GOTHAM group within BIFI since 2017. I defended my thesis entitled“Physics of interdependent systems”, at the University of Zaragoza in 2021 and, afterwards, before joining the Universitat Rovira i Virgili in 2024, I was an independent postdoctoral researcher at the Instituto Gulbenkian de Ciência, in Portugal.

Researcher profile identity
Currently, I am a Juan de la Cierva researcher working on my own line of research, in which I try to characterize how the evolution of a virus influences the emergence of multiple variants of a disease during an epidemic outbreak or the persistence of diseases in the population. This problem is part of the central research line of my research career: the application of complex systems physics and network science for epidemic modeling.

Why my research is important
Epidemic modeling is crucial to obtain reliable predictions on the progress of an epidemic outbreak and the design of containment policies that minimize its impact on society. In one of our papers we proposed a model that captured the spatial distribution of dengue cases in Santiago de Cali. Our results provided useful guidance to local authorities for the targeted distribution of Wolbachia bacteria to control outbreaks of this disease in this endemic region. We also developed an epidemic model that reproduced the pandemic trajectories of COVID-19 pandemic in different countries, such as Spain and Colombia. In the absence of vaccines, this model initially assisted national and local authorities in the design of optimal non-pharmaceutical strategies to reduce the impact of the pandemic in these countries.

Know more about me and my research
– sorianopanos.github.io
– Bluesky: @sorianopanos.bsky.social