For well over 80 years, social psychologists have been concerned with finding techniques to change attitudes. A prevailing view of implicit stereotypic attitudes is that they are automatic and develop through experience and learning. Under this view, implicit attitudes are believed to be very resistant to change. While working with the Mindfulness and Decision-Making Lab at Harvard, I identified and validated a mindfulness-based and digital intervention for shifting both racial and face-based implicit biases. It works by loosening the strength of previously-established associations via the introduction of novel ones (submitted manuscript, 2018).


The HOLLIS empty search project was inspired by an analysis of the top 1,000 search terms and themes submitted on the HOLLIS site since 2016 (see visual representation; word SIZE = search FREQUENCY) and by a landscape review of popular academic and non-academic search engines’ empty state designs with the goal of improving the HOLLIS search experience.


The Harvard Library team has been redesigning their websites and digitizing the library experience. As a UXR intern in the Digital Strategies and Innovation group, I applied a mixed methods approach to identifying current and potential users of Harvard’s library services, understanding how these personas use various library services (both digital and non-digital) so as to accommodate their needs and pain points, and determining what kinds of new tools would be useful to them, all with the goal of increasing the use and relevance of services across different platforms.


In this project, via on-the-spot interviews, we were interested in understanding users’ impressions of and assumptions regarding the specific behavior of a new “Download PDF” link, as well as which of two prototypes was most useful and engaging.


A large part of my role as a UX researcher on Harvard’s Digital Strategies and Innovation team has involved performing quantitative and qualitative

usability tests of the major library websites with a particular focus on designing for search and on improving search features to reflect an optimal balance between findability and discovery based on user experience feedback. This work has also incorporated elements of design including building wireframes

and interactive prototypes.