Daniel Verdi

Bridging Data & Society

My research centers on human-centered AI, social media, and science of science, focusing on their societal aspects and impact. I study how information is produced and shared, designing and evaluating initiatives for (science) education, communication, and outreach.

Methodologically, I combine computational social science and human-computer interaction, using methods like natural language processing, social network analysis, and human-centered design. Given the interdisciplinary nature of my work, I seek collaborations across data science, learning sciences, sociology, and media studies.

I am an incoming PhD student at Stanford and completed my undergraduate degree at the University of Richmond. Previously, I have conducted research at USC, CMU, and FBK, as well as an industry internship at Amazon Alexa AI. Finally, I co-founded the Brazilian Fair of Young Scientists (FBJC), engaging over 2,000 participants and attracting more than 1 million website visits.

My long-term goal is to promote more informed, equitable, and innovative societies. Working closely with policymakers and industry leaders, I hope my findings will inform practical interventions in policy and design.