About me

I am a computational social scientist and Research Fellow at Trinity College Dublin, based at the Centre for Sociology of Humans and Machines (SOHAM). I study how collective attention, belief and knowledge take shape in social systems where people and machines interact, and what this means for collective intelligence. Much of my work focuses on online information ecosystems, and I also study AI in workplaces and in group decision-making.

My research follows machines as they take on more active roles in social life. During my PhD in Network Science at Central European University, I studied how ranking algorithms and platform interventions on Sina Weibo shaped which topics captured public attention. In my postdoctoral work, first at University College Dublin and now at Trinity, I turned to AI as a participant in social interaction. I model how the influence of AI agents changes the beliefs that groups converge on, and I run online experiments on how people judge AI in positions of authority, which show that gender biases toward human managers carry over to AI managers. Most recently I have begun comparing AI-generated and human-written encyclopedias to understand what changes when a machine becomes the author of shared knowledge.

Across these projects I combine network science, agent-based modelling, large-scale digital trace data and behavioural experiments. I am the lead author of a review on AI-enhanced collective intelligence in Patterns, which sets out a framework for how human and machine intelligence can be combined in groups. Increasingly, my work asks how the design of AI systems, from how much influence they carry to how they look, shapes the outcomes of the groups they join.

My research has been featured in The Conversation, de Volkskrant, MIT Technology Review (Chinese edition) and LSE Impact.

“The real danger is not that computers will begin to think like humans, but that humans will begin to think like computers.”

— Sydney J. Harris

• Jun 2026Our article, Gendered AI design reflects and reinforces society’s biases, is published in LSE Impact.
• 2026New publication: Gender bias in perception of human managers extends to AI managers, with Taha Yasseri, in Computers in Human Behavior Reports.