Fabio Scielzo-Ortiz

Fabio Scielzo-Ortiz

I am a researcher at the UC3M-Santander Big Data Institute. I obtained my Bachelor's degree in Statistics and Business from Universidad Carlos III de Madrid (UC3M) in 2023 and a Master's degree in Big Data from the UC3M in 2024. I am a PhD student in Statistics for Data Science at UC3M. At IBiDat, I work on Data Science and Applied Research in both business and academic projects.

robust-mixed-dist

robust-mixed-dist is a Python package that implements robust statistical distances for mixed-type multivariate data (numerical, ordinal, nominal and binary variables), developed as part of my PhD research on distance-based learning methods for complex, large-scale data.

The package underpins the robust distances introduced in Grané & Scielzo-Ortiz (2025), “On generalized Gower distance for mixed-type data: extensive simulation study and new software tools”, published in SORT - Statistics and Operations Research Transactions (DOI: 10.57645/20.8080.02.28).