Alejandro Kuratomi

Alejandro Kuratomi is an Assistant Professor in Data Science at the Department of Computer and Systems Sciences (DSV), Faculty of Social Sciences, Stockholm University. His academic journey includes a Ph.D. in Machine Learning (2024), M.Sc. in Engineering Design: Mechatronics (2019), and dual B.Sc. degrees in Industrial and Mechanical Engineering (2014).

• Ph.D., Machine Learning – DSV, Stockholm University
• M.Sc., Mechatronics – KTH Royal Institute of Technology
• B.Sc., Industrial Engineering – Universidad de Los Andes
• B.Sc., Mechanical Engineering – Universidad de Los Andes

Kuratomi’s research focuses on Machine Learning Interpretability, Algorithmic Fairness, and Multivariate Time Series Classification, with applications in GNSS error estimation and healthcare decision-making. He develops interpretable models like CRITS and ORANGE to address technical and ethical challenges in AI.

His recent work explores Transformer/LLM interpretability, mechanistic explanations, and integer-justified counterfactuals. While no awards or students are mentioned, his publications highlight interdisciplinary efforts combining computer science, ethics, and engineering.