I am a HCI research scientist working at the intersection of data work, sociotechnical systems, and community-based research. 

For the past eight years, my work has focused on understanding how data is produced, interpreted, and governed across organizational and institutional contexts. My doctoral research examined the ecosystem of norms, values, and practices that technologists navigate when integrating social media data into institutional settings. After graduate school, I joined the IBM Thomas J. Watson Research Center, where I worked as a Staff Research Scientist as part of the Responsible Technology team. There, I led a comprehensive research agenda focused on data work and data practices for LLMs, which consisted of examining the sociotechnical and governance risks of synthetic and adversarial datasets used in developing and evaluating LLMs.

Additionally, I have conducted research on impact assessments for emerging technologies and on how youth safety is conceptualized and addressed in generative AI technologies (funded by the Notre Dame-IBM Technology Ethics Lab). These insights had inform the design of methodologies to strengthen the evaluation practices of generative AI systems.

Alongside my academic work, I have conducted research across industry and public-sector settings, including at Google (YouTube Rapid Research and Chrome), IBM Research, and the UNDP Mexico Accelerator Lab. 

I hold a PhD in Human-Centered Computing from Georgia Tech’s School of Interactive Computing, advised by Christopher Le Dantec, and a master’s degree in Human-Computer Interaction from Indiana University Indianapolis, advised by Lynn Dombrowski. Before moving to the U.S., I earned a master’s in Cognitive Systems from Pompeu Fabra University in Barcelona, Spain, and a B.A. in Animation and Digital Arts from Instituto Tecnológico y de Estudios Superiores de Monterrey (ITESM).