RESEARCH

Pre Doctoral Researcher, Computational Social Science Lab
Jun 2024 - Present

As a full-time researcher in Microsoft's pre-doctoral program, I engage in projects that explore human-AI collaboration and the intersection of social and political dynamics. My work on human-AI interaction focuses on understanding how advanced language models can enhance decision-making and support complex comprehension tasks. Through rigorous studies and innovative approaches, I aim to uncover actionable insights that improve user experiences and refine the integration of AI in everyday contexts.

In the political and social sphere, I contribute to research that examines public opinion, demographic trends, and the role of narratives in shaping perceptions. By analyzing large-scale datasets and engaging in hypothesis-driven experimentation, I work to reveal patterns that inform the understanding of societal behavior and public sentiment. My efforts also extend to election forecasting, where I collaborate on improving methods for demographic segmentation and predictive accuracy, driving forward research with real-world implications.

Research Associate, Department of Computer Science and Engineering
Nov 2023 - Present

At the Computational Social Science and AI Lab, I focus on modeling creativity in socio-cognitive systems by bridging psychology, cognitive science, and computational methods. My work involves reviewing interdisciplinary research to identify gaps in our understanding of creativity, idea generation, and information processing. Using agent-based simulations, I analyze the impact of social interactions on belief rigidity and creative thought, uncovering patterns across social, semantic, and temporal networks. By engineering Python-based computational frameworks that incorporate real-world human data, I aim to enhance the precision of these models. Ultimately, my research contributes to scaling up digital experiments, creating innovative tools that facilitate future breakthroughs in the study of creativity.