I am a UX Research Scientist on the Augmented Reality Hardware team. My research focuses on the development of foundational knowledge and processes to inform AR product decisions related to display and optics hardware. I leverage a combination of quantitative (e.g., causal inference, statistical modeling, psychometrics, psychophysics, surveys) and qualitative methods (e.g., subjective introspection, interviews, observation) to derive holistic results and recommendations. I received my PhD in Cognitive Psychology/Neuroscience from UC Davis and have expertise in human memory, perception, and attention with specialization in working memory, face perception, and signal detection theory.
Signal detection; visual working memory; distraction; face perception; social categorization and biases