Postdoctoral fellow at IMDEA Networks and IBiDat Institute at Universidad Carlos III de Madrid
Blas is a postdoctoral fellow at IMDEA Networks and IBiDat Institute at Universidad Carlos III de Madrid. His research draws from dynamical systems, complex systems, and network science. It focuses, on the one hand, on studying the behavior and evolution of norms and opinions in social networks, and, on the other hand, on estimating the latent states of statistical and agent-based models based on aggregate observations. Lately, he has drawn interest in the interpretability and fairness of machine learning models.
Blas has a PhD in Mathematics from the University of Oxford under the supervision of Prof. Doyne Farmer, where he formed part of the Complexity Economics group of the Institute for New Economic Thinking at the Oxford Martin School. Moreover, he has worked with the World Bank Group as a data analyst and has participated in numerous conferences, seminars, and competitions. Blas did his undergraduate studies in Physics at the Universidad Nacional Autónoma de México, Mexico. Besides his academic career, he is passionate about music.
He is collaborating with INET to develop methods to infer the latent states of agent-based models using data assimilation techniques.
No. 2022-23 - Quantifying the structure of controversial discussions with unsupervised methods: a look into the Twitter climate change conversation
09 Aug 22
In this paper, we study such mechanisms by analyzing the social network dynamics of controversial Tw...
Estimating initial conditions for dynamical systems with incomplete information
20 Apr 22
In this paper, we study the problem of inferring the latent initial conditions of a dynamical system...