I'm Xurxo Rigueira
a CS Ph.D. Candidate
at UVigo.

I am a Computer Science Ph.D. candidate at the University of Vigo, where I am advised by María Araújo and David Olivieri. I have also had the privilege of being advised by Tianfang Xu at Arizona State University, where I completed two doctoral research stays with the Groundwater Sustainability and Data Sciences research group. Prior to that, I completed my undergraduate and graduate studies at the University of Vigo and California State University, East Bay, majoring in Mining and Energy Resources Engineering.

So far, my reseach has focused on water resources modeling with machine learning and statistical models. In particular, I have worked on the development of explainable machine learning models for anomaly detection and forecasting in water quality and hydrological time series, as well as the proposal of functional data analysis methods robust to unknown data distributions and outliers for environmental applications. In a prospective postdoc, I aim to combine my expertise in water resources modeling with my interest in climate and weather science to tackle the challenges of hydroclimate modeling and forecasting. I collaborate with researchers across computer science, natural resources engineering, and climate science.