Applied Data Science Invited Speakers

The Applied Data Science Invited Talks will provide a venue for leading experts in the world of applied data mining and knowledge discovery. These invited talks will feature highly influential speakers who have directly contributed to successful data mining applications in their respective fields. The talks and discussions will focus on innovative and leading-edge, large-scale industry or government applications of data mining in areas such as finance, health-care, bio-informatics, public policy, infrastructure, telecommunications, social media and computational advertising.


Keynote: Ya Xu

Ya Xu

LinkedIn

Data Science Challenges @LinkedIn

I plan to talk about a few big challenges we have at LinkedIn in the space of Data Science. The ones coming to my mind are (1) Measuring long-term impact (2) Learning while preserving privacy (3) Fairness. I can also touch upon productivity and efficiency - which is a very practical challenge I’m sure all DS organizations face.


Ya leads the Data Science team at LinkedIn. This centralized team has 200+ data scientists distributed across the globe, tackling data science challenges across product, sales, marketing, economics, infrastructure and operations. Before LinkedIn, she worked at Microsoft and received a PhD in Statistics from Stanford University. She is passionate about bridging science and engineering to create impactful results. Besides work, she loves spending time with her two little boys. Recently she learnt to love skiing.

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