Marco Fernandez da Silva

Centre: IUI BIFI
Institution: University of Zaragoza, Zaragoza (Spain)
Position: PhD Student
E-mail: marco.fernandez@unizar.es
Phone: 976762989
Web: https://bifi.es/physics/Complex Systems and Networks
Profile: Ver

Personal statement

I am a PhD student in the Physics Program at the University of Zaragoza, currently pursuing my PhD thesis titled “Unraveling Complexity through AI in Data-Rich Systems.” After completing my Bachelor’s degree in Physics at the University of Zaragoza, I joined the COSNET group, where I began actively participating in its various research lines, particularly those of an interdisciplinary nature that combine approaches from physics, social sciences, and economics.

Researcher profile identity

I am currently an R1-level researcher. My research interests cover a wide range of topics, from exploring new perspectives in coarse-graining methods to studying social behaviors in epidemic diffusion, as well as analyzing dynamics and patterns in economic systems. Overall, my work is aimed at understanding complexity in diverse systems through advanced analytical and computational tools.

Why my research is important

I believe that many seemingly different phenomena share underlying principles that can be described using common tools from statistical physics, network theory, and artificial intelligence. Through the development of coarse-graining methods and the use of machine learning models in data-rich environments, I aim to simplify reality without losing the essence of its dynamics. This approach not only improves the predictive power of models but also provides a more unified perspective on how different levels of organization interact within complex systems.

Know more about me and my research here

• Research group project page: https://cosnet.bifi.es/people/phd-undergrad-students/
• 0009-0004-3396-5025