About Me
I am Sergio Estan Ruiz, a PhD student in Statistics at Imperial College London. My interests lie in maths for AI, alignment, safety and other wonderfully vague research directions. I am currently in my SLT phase, but who knows if that will change and, before this, I did network time series for economics. Despite my frequent changes in research taste, I have always been a big fan of doing research for public policy. I am always happy to discuss mathematics, machine learning, economics, and anything in between! Outside of work, I like cooking (making parmigianas is my secret talent), going climbing and reading.
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.
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)