Daniel Verdi

Bridging Data & Society

I’m a PhD student at Stanford University studying computational social science with a focus on science of science, social computing, and human-centered AI. My research examines communication and governance in scientific and socio-technical systems through data science techniques like natural language processing (NLP).

I’m particularly interested in how algorithmic systems like AI and social media are changing information ecosystems and how their own risks and benefits are transmitted to the public. A focus of my research is how scientific ideas, political narratives, and technological discourses are translated for public audiences and popularized through digital media. At the core of my work is a commitment to questions of equity, ethics, and social justice.

Through this work, I seek to inform the development of technologies and policies that promote more informed and inclusive societies. Beyond conducting research, I am also passionate about designing tools and events to put science in conversation with communities and create opportunities for marginalized students to engage with research and technology.

My approach is grounded in diverse interdisciplinary and international experiences combining technical knowledge and societal relevance. Before Stanford, I conducted research at world-class institutions like Carnegie Mellon, University of Southern California, and the University of Copenhagen, besides an industry internship at Amazon Alexa AI. I also proudly co-founded one of Brazil's largest high school science fairs, the Brazilian Fair of Young Scientists (FBJC), which has engaged over 2,000 participants and received over 1M website visits.