About Me

I am a PhD student in Statistics at the University of California, Santa Cruz, under the guidance of Prof. Raquel Prado. My academic journey has spanned the realms of mathematics and its practical applications. I have completed my MSc in Economic Theory from ITAM under the supervision of Prof. Ignacio Lobato, and a BSc in Applied Mathematics under Prof. Levent Ülkü. These experiences have sparked my interest in the interrelation of these fields.

In my free time, I enjoy engaging in diverse activities such as constructing grow light stations, playing the bass, and sketching birds. I’m a fan of Robert Sapolsky’s books and enjoy discovering new cafes!

Research Interests

I primarily interested on developing scalable algorithms for understanding complex data dynamics in space and time, or spatio-temporal processes. I find the application of neural network architectures, especially deep learning, potentially interesting for this work. My goal is to utilize these techniques across different sectors like health, economics, and enviromental data interpretation.

My research lies at the intersection of Bayesian Statistics and Machine Learning. I am particularly interested in time series analysis, dynamic modelling, semi-supervised learning, and bayesian deep learning.