Computational social scientist Meysam Alizadeh has held postdoctoral and senior researcher positions at the University of Zurich, Harvard University, Princeton University, and Indiana University Bloomington. He holds a PhD in Computational Social Science from George Mason University.
His research lies at the intersection of artificial intelligence and computational social science, focusing on the emergent capabilities of large language models (LLMs) in social science research, their safety and alignment challenges, and their implications for democracy. He applies methods including LLM fine-tuning, red-teaming, and capability elicitation, alongside natural language processing, online experiments, and machine learning to analyze digital trace data and translate findings into actionable policy insights.
The overarching goal of his work is to develop robust frameworks for the safe and ethical integration of LLMs into computational social science research workflows.