Published papers: 'The TikTok Tradeoff: Compelling Algorithmic Content at the Expense of Personal Privacy' (2022); 'La Independiente: Designing Ubiquitous Systems for Latin American and Caribbean Women Crowdworkers' (2023); 'Designing Gig Worker Sousveillance Tools' (2024). Supported by the NSF Graduate Research Fellowship Program (NSF GRFP) and the Mae Williamson Simmons Fellowship.
Research Experience
Continuing research in Human-Computer Interaction and Design during her PhD studies at Brown University; previous research focused on TikTok user privacy awareness, community building for Latin American and Caribbean women crowd workers, and designing gig worker sousveillance tools.
Education
PhD student in Computer Science at Brown University, co-advised by Dr. Harini Suresh and Dr. Diana Freed; Bachelor's degree in Electrical and Computer Engineering from Northeastern University's Honors Program.
Background
Research interests include Human-Computer Interaction and Design, particularly exploring how meaningful design can combat digital resignation; focuses on Computer Science, dedicated to uplifting marginalized communities and empowering them over their personal data.