I am a PhD student in Statistics at Pontificia Universidad Católica de Chile, under the supervision of Luis Gutiérrez (PUC) and Miguel de Carvalho (University of Edinburgh). I am interested in the sequential modeling of cascading extreme events, and lately I have been studying neural methods for amortized inference. More broadly, my work sits at the intersection of extreme value theory, Bayesian nonparametrics, and modern machine learning.

Before starting my doctorate, I completed a Mathematical Engineering degree and a Master of Science in Mathematics at Universidad Técnica Federico Santa María, graduating with highest honors. During that time I became passionate about spatial statistics, Bayesian analysis, and the role neural architectures can play in classical statistical problems.

Outside of research, I enjoy mentoring students, spending time with my family, and appreciating the quiet beauty of everyday life. If you are interested in consulting or collaboration, feel free to reach out.

“Peace begins with a smile.”