Country: United States
Current role: Quantitative UX Researcher and UX Engineering Lead @ Google
PhD completion year: 2016
PhD title: Developing the cyranoid method of mediated interpersonal communication in a social psychological context: Applications in person perception, human-computer interaction, and first-person research
While finishing my PhD at ÐÓ°ÉÂÛ̳ I was hired by Uber to work as a data scientist on their global safety team. I developed statistical models of risk in emerging markets and evaluated the efficacy of driver screening programs. I also worked with local operations teams to understand the causes of interpersonal and vehicle safety incidents in the context of market-specific infrastructural, cultural, and sociodemographic factors.
Following Uber, I joined Google as a quantitative user experience (UX) researcher and began to work more closely with product development teams and UX practitioners (e.g., UX designers). My individual research has at times focused on 1) consumer segmentation and market strategy; 2) causal inference from observational data; 3) user preference modeling; and 4) measurement scale development. I have managed multidisciplinary UX teams for several years and currently lead a team of specialized engineers who build research infrastructure and UX data platforms.