My name is Christian Cabrera-Jojoa. I am an Assistant Research Professor in the Department of Computer Science and Technology at the University of Cambridge, UK, and an Academic Associate at Pembroke College.

I lead the Interfaces research programme at ML@CL on interpretable, self-sustaining multi-agent AI systems, extending the AutoAI project. The programme takes a systems perspective on the AI adoption problem: software as the interface between socio-technical needs and AI capabilities. It addresses the data dichotomy (data-driven systems must expose data that traditional architectures hide) and intellectual debt in deployed ML systems. Two complementary research lines: DOCS (data-oriented architectures) and S4 (self-sustaining systems with humans in control) support objectives to design, architect, and build AI-based systems and to interpret their autonomous behaviour. Work is validated across different domains, including critical ones like healthcare.

Previously, I was a Research Fellow at Trinity College Dublin, where I also received a Ph.D. in Computer Science (2020). My research at Trinity focused on context-aware, pervasive, and resilient systems architectures for large, distributed, and dynamic urban environments.