I am a multidisciplinary computing researcher and a leading public scholar on the socio-technical aspects of AI-assisted software development. As Qualitative Lead for Google’s DORA Research team, I translate foundational research into reports and analyses that shape the conversation for an annual readership of 50k+ developers, executives, and industry decision-makers. Drawing from expertise in software, hardware, social sciences, and humanities, I have developed both novel, research-grade technologies and set strategy for established products with billions of global users. My work has been published in top scientific venues topics of Artificial Intelligence, Information Retrieval, Embedded Systems, Programming Languages, Ubiquitous Computing, and Interaction Design. My findings have been covered by leading international news outlets, including CNN, Newsweek, and Business Insider.
I have been working on cross-functional technology design teams in both public and private sectors since 2015 and have experience with all phases of developing novel technologies—from unearthing hidden values in design frameworks, to building experimental circuitry, and evaluating enterprise-grade products.
My recent work focuses on understanding the psycho-social impacts of AI-assisted software development, especially for the professionals whose labor is being automated. Last year, I gathered more than 100 hours of qualitative data on this topic from technology professionals with diverse participant profiles, roles, and organizational contexts.
I received my Ph.D. in Informatics from the University of California, Irvine in 2021.
