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UPDATE: Tickets have now all gone out for this event. If you have not received an approval e-mail from us you have been unsuccessful in getting a ticket for this event.

Join Data Science Festival London, in partnership with Facebook. Lightning talks covering using AI for decision making, to topic modeling and building products with data. Following our talks will be a panel with all our speakers where you can ask questions and learn more about each topic covered.

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 the 19th of November 2018 you have been unsuccessful in getting a ticket for this event.


Please click here to apply for a ticket:


6:00: Doors Open
6:30: Welcome/Intro
6:35: Lightening Talks (10 mins each)
7:20: Panel chat & Q&A
8:00: Refreshments
9:00: Close

Ankur Modi: Using Artificial Intelligence to build Employee Analytics for instant decision making

Bio: Ankur Modi is the CEO and co-founder of StatusToday, which was recognized as one of Europe's hottest Artificial Intelligence start-ups by Business Insider and Techworld. He is an expert in big data engineering with a unique specialization in human behavior and has been recognized as Forbes 30 Under 30 in Technology. Most recently Ankur served as an expert advisor to the Westminster Parliament and was awarded a fellowship by the Royal Society of Arts and Commerce. Ankur left India at 17 to pursue Computer Science in Germany and subsequently received training in Psychology from Oxford University. Prior to StatusToday, Ankur led global projects as an engineer and project manager at Microsoft. At StatusToday, Ankur and his team have created a unique Intelligence platform that helps companies objectively measure engagement, collaboration and wellbeing.

Adam Hornsby: Building a topic model using retail data.

Bio: Adam is a Senior Data Scientist at Dunnhumby, where he builds and deploys machine learning algorithms at scale. He is also a part-time Experimental Psychology PhD student at UCL, funded by Dunnhumby. His research aims to better understand consumer purchase behaviour through a combination of data science, machine learning and cognitive modelling.

Sandi Conroy: Data Science, Product & Integrity

Bio: Sandi Conroy is a Data Science Manager for the Community Integrity team in London and has been at Facebook for four years. She is passionate about working on the Community Integrity team, which is trying to build a safe and inclusive community for Facebook users.

Shachar Meir: The Science of Product Development: Demystifying Product Development @ Facebook

Bio: Shachar Meir leads the Ads Data Engineering team at Facebook London, helping make advertising work for everyone. Prior to Facebook, Shachar had spent over a decade making organisations data-driven, with companies such as PayPal, WorldRemit, Pontis, and more, building global teams all across the spectrum, from Data Engineering to Analytics. Shachar is extremely passionate about turning data to insights that drives businesses, and is enthusiastic about the psychology of data and shaping team cultures around data.