Data are becoming the new raw material of business
The Economist

Solving Interdisciplinary Problems with Data Science: Alumni Spotlight on Wendy Ni

At The Data Incubator we run a free eight-week Data Science Fellowship Program to help our Fellows land industry jobs. We love Fellows with diverse academic backgrounds that go beyond what companies traditionally think of when hiring Data Scientists. Wendy was a Fellow in our Winter 2017 cohort who landed a job with one of our hiring partners, Facebook.


Tell us about your background. How did it set you up to be a great Data Scientist?

I have a PhD in Electrical Engineering from Stanford University, where I’m currently a postdoc. My doctoral and postdoctoral research focus on the translation of novel magnetic resonance imaging (MRI) technologies to clinical neuroimaging applications, and the extraction of “hidden” imaging biomarkers from conventional clinical images. In my research, I utilized my engineering, programming, study design, and communication skills to solve interdisciplinary problems with real-world impact. I am now pivoting to data science, because I want to use my quantitative and analytical skills to discover hidden insights and guide decision-making for immediate applications in industry.

What do you think you got out of The Data Incubator?

The Data Incubator has introduced me to many toolboxes and techniques, as well as soft skills and information related to the job search. In a nutshell, it revealed my “unknown unknowns” and provided the resources for me to convert them into “known knowns”. I also really enjoyed learning from and collaborating with fellows, scholars and instructions.

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