Research

My research sits at the intersection of computational social science, cybersecurity, and natural language processing. I advance online safety, digital resilience, and cultural analytics through three connected lines of inquiry:

• Information and Knowledge Dynamics in Hidden Networks
• Attention and Behavior Dynamics on Public Platforms
• Meaning and Cultural Dynamics in Long-Term Discourse

The three subpages below reflect this integrated agenda. Across these streams, I combine methodological depth (NLP, survival modeling, panel methods, causal inference strategies) with applied relevance in online safety, platform governance, and public-interest computing.

The agenda is structured for externally funded, team-based research, with modular streams that support cumulative progress in data engineering, modeling, evaluation, and societal interpretation.

Information and Knowledge Dynamics in Hidden Networks

Computational research on information and knowledge dynamics in hidden or low-accountability networks, including anonymity systems, trust, misinformation risk, and links to wider public-platform harms.

Attention and Behavior Dynamics on Public Platforms

Computational social science on attention, behavior, emotion dynamics, and information vulnerability on public platforms, including how these dynamics shape emotional climates and collective response capacity.

Meaning and Cultural Dynamics in Long-Term Discourse

Multilingual and diachronic NLP for tracing long-run meaning and cultural dynamics across large-scale historical and contemporary corpora, including shifts in values and narratives.