As a 2024 Schmidt Science Fellow, Carmen plans to create more reliable and data-efficient language technologies. This will expand accessibility to minority language speakers and combat the spread of misinformation.
She will use mathematical models to gain a better understanding of our cognitive capabilities for language processing combined with computational tools to unveil the fundamental differences between natural and artificial language processing.
By bridging the gap between machine and human intelligence, her goal is to create safer and more efficient language technologies and, ultimately, steer artificial intelligence towards creating more equitable societies.
Interdisciplinary Pivot: Applied Mathematics to Natural Language Processing