Data Science and NLP at Google Campus 27th Feb 2018

Due to the popularity of Data Science Festival events, we are now allocating event tickets via a random ballot.

Those randomly selected and approved will then be e-mailed tickets for the event. If you do not receive an approval e-mail from us by Thursday 22nd February 2018 you have been unsuccessful in getting a ticket for this event.


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The Data Science Festival is the first of its kind as the only community led, free to attend Data Science Festival in the UK.


6pm Doors Open

6:30 Talk 1 – Ling Zhang

7:15 Break

7:45 Talk 2 – Dong Nguyen

8:30 Close, Questions, Networking, etc

Speaker 1 – Ling Zhang

Title: NLP: What you mean, not what you say

Summary: A deep dive into the real world NLP pipeline of Aiden: our AI powered coworker with an entirely conversational interface. We will cover how we decode natural language, use the conversation context, ask for missing or ambiguous information, and translate abstract concepts into concrete data points.

Bio: Passionate entrepreneur and polyglot software engineer, Ling Zhang is a Software Engineer at, the first AI-powered coworker for Marketers. He brings his expertise in deep learning, natural language processing, and full stack development. Previously, he founded 2 startups before age 25, and was part of Entrepreneur First. Ling graduated in Computer Science from NYU Abu Dhabi with minors in Math, Arabic and Chinese, and he started his career at Facebook and Palantir.

Speaker 2 – Dong Nguyen

Title: NLP for the social sciences: Opportunities and Challenges

Summary: Massive digital datasets, such as social media data, provide the opportunity to study language use and behaviour in a variety of social situations on a very large scale. However, to fully leverage their potential for research in the social sciences, new computational approaches are needed. First, I discuss case studies featuring Twitter and Urban Dictionary. I then conclude with my perspective on a few big challenges in this emerging area.
Bio: Dong Nguyen is a research fellow at the Turing Institute and affiliated with Edinburgh University. Previously, she was a PhD student at the University of Twente. She is interested in developing text mining methods that can help answer questions from the social sciences and the humanities. She especially enjoys working with social media data. Her work has been featured by various news outlets, including the New York Times and Time Magazine. She has a Master’s degree from Carnegie Mellon University.