I’m a data strategist, and Ph.D. candidate and graduate data sciences instructor at the School of Information at the University of California, Berkeley.
I help companies develop strategies for creating platform-based products and services that collect, analyze, and distribute users’ personal data, as well as strategies for identifying the value of data collected by these products and services.
My industry work is informed by my research examining how companies and teams address uncertainty during high stakes situations. My dissertation focuses on technology development teams’ strategies when creating pioneering multi-sided platform technologies that collect, analyze, and distribute users’ personal data.
I’m developing a suite of strategy cases focusing on technology development efforts at Suunto, Garmin, and Adidas. These cases will inform strategy decisions at companies creating similar technologies, such as those in the professional sports and entertainment domains.
With Steve Weber I co-developed and co-teach W201 Research Design and Applications for Data and Analysis for the online Master of Information and Data Science (MIDS) at the School of Information. It’s the foundational course in the first online degree in data science, where students learn how to use data to ask and answer big questions and guide big decisions in organizations.
Prior to pursuing my Ph.D. I worked with Yahoo! Research’s Internet Experiences Group (June 2009 – March 2011). My Masters thesis, Everyday Consumer Activities and Real-time Information Sources, examined consumer-related information use and flow on Twitter.
I have a decade of experience in product management, marketing, and research for a global corporate data broker, industrial research lab, and pair of software startups. I earned my B.A. in Economics at the University of California, Davis, and Masters in Information Management and Systems at the University of California, Berkeley, School of Information.
