Sarah Poon is a User Experience (UX) designer and researcher, who focuses on applying modern design principles to improve scientific computing. She has worked closely with many scientific projects and user facilities at LBNL, including the ALS, NERSC, KBase, and CCSI. View examples of her work.

 

Sarah is particularly interested in how UX can be used to design UIs for the "expert use" systems that are endemic to scientific computing, such as software to perform complex and technical workflows, to analyze and manage large volumes of data, and to support highly focused tasks requiring quick decision making in real-time. Correctness and accuracy are critical in these environments. At the same time, she aims to design software that is intuitive and even "delightful" to use.

 

Sarah is also researching how to create "design systems" that leverage commonalities across scientific projects and lower the barrier for scientists to create their own UIs.

 

Sarah received her Masters in Information Management and Systems from the School of Information at UC Berkeley.