Scholar
Jose M. Alvarez
Google Scholar ID: SD_BQEoAAAAJ
KU Leuven
Citations & Impact
Citations
452
H-index
6
i10-index
6
Publications
14
Co-authors
14
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Papers and preprints can be found on Google Scholar, dblp, and arXiv
Research Experience
- - Currently: Postdoctoral Researcher at KU Leuven’s DTAI Research Unit, working with Jesse Davis and Wouter Verbeke
- - During PhD: Research Fellow at the KDD Lab, Marie Skłodowska-Curie Fellow with NoBIAS ITN
- - Previously: Quantitative risk modeler at Deloitte
Education
- - PhD in Data Science from Scuola Normale Superiore, advised by Salvatore Ruggieri
- - MSc in Econometrics and Empirical Economics from Toulouse School of Economics
- - BA in Economics and History from the University of Florida, attended as a Davis UWC Scholar
Background
- A machine learning scientist studying algorithmic tools for decision-making and their societal implications. His research is at the intersection of causality, trustworthy AI, and applied data science.
Miscellany
- From Caracas, Venezuela
