About

Ulysses Pascal researches how digital technologies mediate economic and political life. His work sits at the intersection of economic geography, critical data studies, and science and technology studies, examining how information infrastructures shape global finance. His previous research investigated the relationship between finance and Big Tech, including the politics of financial data production, the infrastructural power of market metadata standards, and the role of platform technologies in reshaping capital markets. He now studies the ways in which Large Language Models (LLMs) construct historical narratives and the broader implications of the adoption of Generative Pre-trained Transformers (GPTs).

His research has been supported by grants and fellowships from the National Library of Singapore, the Charles Babbage Institute, and the Hagley Archives. He holds a PhD in Information Studies from UCLA and was Postdoctoral Research Fellow in Finance and Big Tech at Vrije Universiteit Brussel (VUB). Currently, he is a Postdoctoral researcher at University of California Los Angeles (UCLA)'s Large Language Lab.