Angela Teng: The Data Resource

NYU Center for Data Science
2 min readSep 13, 2019

Angela Teng is a first-year in the Masters in Data Science program at NYU’s Center for Data Science. In July 2019, Angela published a book entitled The Data Resource: How Emerging Countries Can Thrive in a Changing Landscape. Angela shared with us insights about the book, CDS, and what she plans to do next.

Image courtesy of Angela Teng

What inspired you to write The Data Resource?

When I was applying for jobs in the Philippines, I realized that there were very few, if any, innovative engineering roles available — particularly in the space of data science. I was curious to understand why there weren’t enough data science jobs back at home, despite articles alluding to the demand for data scientists being at an all time high. At a time when the amount of data generated per day is skyrocketing, it is important to create and curate a discussion about how our technology and access to it have shaped history, and what policies we need in order to keep up with an increasingly globalized and data-saturated world. My hope for this project is that it opens up a discussion about the role of data science in emerging markets, as well as why diversity and representation are important in technology as an industry.

What brought you to apply to CDS?

I really love the innovative and passionate community here at CDS. CDS promotes a great ecosystem of in-depth learning across a wide range of disciplines, with professors from such unique backgrounds who focus on really cool research topics. I’m inspired and excited by the research opportunities at NYU that span industry and academia, whether it’s through participation in current research projects at NYU Center for Data Science, or through the Leslie eLab.

I believe this balance and intersection of academic research and industrial applications at the cutting-edge of technology will be truly pivotal to equitable economic growth. By pursuing this program, I hope to use data science to establish a more open, inclusive, and diverse mindset to understand how interdisciplinary collaboration can galvanize innovations in technology.

What are you working on now, and what do you hope to do next?

I currently have a couple of projects in the works, although many of which are still in the early stages. Right now, I am working on a publication centered around data science for social good. Most recently, I also got involved as an editor for Towards Data Science. At CDS, I am currently part of the Leadership Circle. In the coming semester, I hope to be able to take a deeper dive into NLP research by participating in a lab, and then pursuing a data science internship in that field over the summer.

By Mary Oliver

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NYU Center for Data Science

Official account of the Center for Data Science at NYU, home of the Undergraduate, Master’s, and Ph.D. programs in Data Science.