_research

PhD student at the Center for Human-Inspired AI at the University of Cambridge, supervised by Dr. Umang Bhatt and Prof. Anna Korhonen.

I research the externalities of human-AI interaction—the ripple effects that occur when AI-assisted work flows to colleagues, patients, or decision-makers who weren’t present. Current AI systems optimize for individual performance, but organizational effectiveness depends on what happens after the interaction. An AI that boosts your productivity while fragmenting your team’s shared understanding is a local optimizer with hidden costs.

I build tools for empirical research on these externalities, designing trustworthy AI systems for teams and organizations—not just individual users.

_current_projects

Externalities of human-AI interaction

Investigating how sustained AI use influences individual and collective outcomes beyond immediate task performance. This includes studying changes in confidence calibration, skill development, and decision-making patterns when humans routinely collaborate with AI systems.

Developing frameworks and metrics for assessing AI systems from a social science perspective, moving beyond purely technical evaluations to understand real-world impacts on users and communities.

_education

PhD Human-Inspired Artificial Intelligence

University of Cambridge (2025–present). Supervisors: Dr. Umang Bhatt, Prof. Anna Korhonen

MSc Data Science

University of Edinburgh (2021–2023). First-Class Honours (Distinction). Thesis: A social data science metric for machine learning interpretability

BA Sociology

Pontifical Catholic University of Ecuador (2014–2019). First-Class Honours (10/10)