I am a Principal UX Research Lead with 18+ years building and up-leveling research practices at Amazon, Nike, Intel Labs, and the McDonald's Innovation Center. I'm known for directly informing the most important decisions the business faces. I do this by leveraging quantitative and qualitative tools to make sense of complicated contexts, with multiple user groups leveraging advanced technologies. I ensure impact by teaching my teams to turn data into stories that scale the understanding of and empathy for users across the organization.
I have an extensive academic background which grounds my work. I learned collaborative problem solving at the Massachusetts Institute of Technology while getting my BS in Biological Sciences. I honed my storytelling skills as an MFA in Acting candidate at CalArts. My expertise in quantitative analysis comes from my MS in Systems Engineering specializing in Operations Research from George Washington University. And I learned qualitative research techniques while earning my MDes in Design Planning from the Institute of Design at the Illinois Institute of Technology.
My professional career started at the McDonald's Innovation Center, where I was responsible for quantitatively measuring crew and customer experience as well as business metrics. From this deep dive into one company, I moved onto Intel Labs, where I explored how technologies ten years in the future would affect consumers and business users across multiple verticals in order to influence future chip design. After a stint running my own consulting firm, I joined Nike to help reduce the time it takes from idea to store shelves from 2 years to less than six months through supply chain and back of house modernization. And finally over the last five years at Amazon I took these myriad learnings and experiences and learned to apply them more efficiently and at scale while working at AWS IoT, AWS Quicksight and Amazon Physical Stores.