I am a PhD candidate researching identity representations in technical infrastructures. I am supported by a Microsoft Research PhD Fellowship. I am advised by Jed Brubaker in the Identity Lab.
Broadly, I am interested in identity theory, infrastructure studies, AI ethics, and digital identity. I focus primarily on machine learning infrastructures that operationalize human identity characteristics, like gender and race. In particular, I explore the real-world implications of machine learning for those with historically marginalized identities.
PDFs of my work can be found on my Research page. Non-publication specific projects can be found under the Projects tab. This includes the HCI Gender Guidelines and my Prelim Reading List documentation.
