LOS ANGELES, CA
CAMBRIDGE, MA
HARVARD - PH.D. EDUCATION
HARVARD - S.M. DATA SCIENCE
UCLA - B.A. COMMUNICATION STUDIES
FORD FOUNDATION PREDOCTORAL FELLOW (NASEM)
PRESIDENTIAL SCHOLAR (HARVARD)
PRIZE FELLOW (HARVARD)
MCNAIR RESEARCH FELLOW (UCLA)
A Los Angeles native, I graduated Summa Cum Laude with a B.A. in Communication Studies and a minor in Education Studies from UCLA after graduating from high school at 15 years old. While on full academic scholarship, I was selected to be both a Ronald E. McNair Research Scholar and Wasserman Scholar. At UCLA, I led a digital-communication-focused research lab, and continued on to work as a quantitative and qualitative researcher in the Graduate School of Education’s The CHOICES Project. My research garnered numerous awards and honors, including an invitation from the U.S. Department of Education to present my work for Congress in Washington D.C. and selection as a Predoctoral Ford Foundation Fellow.
Focusing my pre-academic career around the intersection of brand experiences & storytelling, digital media, and technology, my work has been featured in The New York Times, The Guardian, Vogue Magazine, Huffington Post, and Vice Magazine, among others. Although my professional experiences have spanned across multiple industries, one thing has remained true: I find fulfillment in leading diverse teams through envisioning and executing long-term, conceptual projects.
Today, as a PhD candidate at Harvard's Graduate School of Education, I seek to make a meaningful impact through researching how online, machine learning-driven ecologies influence youth of color as they construct and affirm racialized and gendered identities.
At the intersection of human development and computer science, my work examines how adolescent identity development is influenced by bias in digital products, environments, and “autonomous” technologies that learn and adapt to users’ short-term needs.
An under-researched source of bias is the explicit assumption that users engage these technologies with a well-formed, durable identity. This creates inequities in algorithmic impact on adolescents who are actively developing their identities compared to adults, as these technologies act as mechanisms of socialization and identity convergence. The combination of personalizable content, information filters, and computer-mediated social expectations potentially shapes and/or concretizes adolescents’ identity formation (i.e., beliefs about oneself and one’s positionality in the world or one’s community) in a way that it does not in adulthood.
Further, given that adolescence is a sensitive developmental period characterized by high susceptibility to outside influence, algorithmic biases may perpetuate or exacerbate existing developmental disparities. My long term career goal is to understand how “autonomous” computation, like artificial intelligence, fits into previously theorized ecologies of home, school, peer, and neighborhood influence on youths’ developmental trajectories.
Interested in collaborating?
I’m always looking for folks to write with.
Shoot me an email.