I am Postdoctoral Fellow @Central European University where I work on networks,
(explainable) AI, and computational social science.
I currently work with János Kertész, Márton Karsai, and Gerardo Íñiguez. Other coauthors are Angel Sánchez and Alberto Antonioni.
I work doing data analysis and programming modelling, but I also use experimental approaches from behavioral economics. I make use of tools from network theory, machine learning, evolutionary game theory, and behavioral economics. I like reinforcement learning and Bayesian statistics.
I did my Ph.D. and master's in Applied Mathematics at the mathematics department at Universidad Carlos III de Madrid, Spain. I also hold a bachelor's in Industrial Engineering (specialization: Industrial Electronics and Robotics), from UC3M.
I'm interested in complex systems, networks, machine learning in general and reinforcement learning in particular, evolutionary game theory, and behavioral economics. Much of my research is focused on inferring behavior from human groups and understand how societies work. All the articles are open access.
Agent-based model to study, using reinforcement learning, how individuals learn to behave in unreliable reputation environments within dynamic networks.
An agent-based model where a hierarchy arises from an egalitarian society, conflics can happen a social norm is internalized leading to a high cooperative (hierarchical) society.
Numerical simulations to study the evolution of cooperation in the one-dimensional ring when the interaction structure is strictly local, and hence fitness only depends on local behaviors, while the competition structure is partly global, and hence selection can happen also between distant agents.
Agent-based model based on experimental results to study reputation evolution within a dynamic network where agents can fake reputation.
These are the places I've been to, talked in or plan to go. If you think I could give a talk, feel free to invite me. Also, you can grab the slides (if any) and reuse them with attribution!
Modified from Jon Barron's website.