My PhD research engaged the design and evaluation of novel data-driven systems aimed at increasing algorithmic transparency, preventing privacy violations, and building trust. I'm particularly interested in how to enable users to understand and control data practices in the age of ubiquitous computing, inferences, and automated decisions.
My work mostly lies at the intersection of Human–Computer Interaction (HCI), Ubiquitous Computing (UbiComp), and machine learning, but I have also worked on authentication, accessibility, and people-nearby applications. My doctoral advisor was Prof. Yang Wang.
I enjoy building things. I've built apps for the web, mobile, and VR. During my PhD, I did research internships at Facebook, Airbnb, and Figure Eight (f.k.a. CrowdFlower). In the past, I competed in web design/development contests and organized a civic hackathon. I enjoy running, traveling, sci-fi movies and books, and (almost) all kinds of games.
My published works tend to be novel systems, frameworks, and models around topics of user privacy, data ethics, trust, and accessibility. My work has been published at CHI, WWW, UbiComp, SOUPS, and PETS.
Some of my inventions in grad school and internships have been patented: