About Me
I am Sergio Estan Ruiz, a PhD student in Statistics at Imperial College London. My work sits at the intersection of time series modelling, machine learning, and public policy. Recently I have been getting interested in interpretability, alignment and safety, specially through the lens of singular learning theory. I am always happy to discuss mathematics, machine learning, economics, and adjacent topics.
Research Focus
Time Series and Networks
Developing graph-aware approaches for multivariate time series, with a focus on macroeconomic forecasting and interpretable structure learning.
Machine Learning for Public Policy
Applying modern statistical and machine learning tools to policy-relevant data questions where uncertainty and robustness matter.
Singular Learning Theory
Looking at topics in interpretability, alignment and safety through the lens of SLT.
Geometry and Topology in ML
Interested in topological data analysis as well as other techniques rooted in geometry and topology.
Education
- Imperial College London
- University of Cambridge
- University of Warwick
- UNED (Universidad Nacional de Educacion a Distancia)