I interviewed Anna Wu, a UX researcher and data scientist overseeing Google Cloud’s Compute Engine. In this final part of the conversation, we discuss how design thinking may useful within data science and machine learning.
Here is the first interview if you would like to start from scratch, and here is more information about Interview Series that this is a part of.
Here is Part 1 and Part 2 of our interview.
Anna Wu, established leader in building and leading high-performing data teams to drive changes impacting hundreds of millions of users. Currently as a research manager at Google, she leads a team of quantitative UX researchers applying UX methods and large scale analytics to inform Cloud product development.
Before this recent chapter, Anna had 10+ years practicing UX and data science at top IT companies and research labs as a UX researcher, data scientist, research scientist at Microsoft, IBM Research and Palo Alto Research Center. She got her PhD in HCI from Penn State and master/bachelor degrees from Tsinghua University.
Resources:
- Anna Wu’s LinkedIn Profile
- “Reporting Ethnography: Storytelling & the Roles Participants Play” by Margaret R Roller in Sam Ladner’s book Practical Ethnography: A Guide to Doing Ethnography in the Private Sector
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