About me

Human-AI Teaming and Simulation

I study how humans and AI systems can work together as teammates, collaborators, and experimental agents. My recent projects examine AI-generated team feedback, human-AI team simulations, human digital twins, and virtual confederates for behavioral experiments.

LLM Evaluation and Collaborative Alignment

I build tools that help multiple stakeholders define, negotiate, and refine evaluation criteria for large language models. This work focuses on LLM-as-a-judge workflows, collaborative alignment, transparent criteria authoring, and evaluation practices for generative AI systems.

Team Formation and Algorithmic Collaboration

I investigate how recommender systems, social networks, and algorithmic decision-making shape team formation, diversity, inclusion, and performance. This line of work includes studies of self-assembled teams, algorithmic team assignment, and systems for assembling diverse and connected teams.

Extended Reality for Collaboration

I examine how virtual, augmented, and mixed reality environments change how people collaborate, brainstorm, learn, and feel included in teams. This work explores embodied interaction, spatial collaboration, familiarity bias, and the future of scientific and organizational work in immersive environments.

Computational Social Science and Networked Mobilization

I use network science, natural language processing, and computational methods to study collective action, media systems, democratic participation, and scientific collaboration. Recent projects examine Chilean mobilization, constitutional referendums, multilayer agenda-setting, and diffusion in social networks.

Future of Work and Remote Collaboration

I study how collaboration platforms, remote work, and organizational technologies affect teamwork at scale. This work examines collaboration skills, distributed coordination, team processes, and the conditions that make digital collaboration more effective.