Daniel Verdi

Bio

My research centers on science of science, human-centered AI, and social media, applying computational methods to explore how AI and scientific knowledge are evaluated, communicated, and governed. Methodologically, my main tools are large-scale data, natural language processing, and network science.

I’m currently interested in three interconnected themes: how AI and digital technologies are changing research practices; how science is developed and shared across scientific fields and regions; and how AI is impacting society more broadly.

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. I’m especially curious about implementing ways to improve digital and AI literacies, as well as how to use AI and other technologies in informal education.

Before Stanford, I graduated from the University of Richmond as a Richmond Scholar, the institution's most prestigious merit scholarship. I have conducted research at universities such as Carnegie Mellon, USC, and University of Copenhagen, and interned at Amazon Alexa AI. I’m also proud to have 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.