The Bartlett Centre for Advanced Spatial Analysis


CASA Seminar: Data Science for Arts and Culture (Vishal Kumar)

15 January 2020, 5:00 pm–6:00 pm

Vishal Kumar

This event is free.

Event Information

Open to







Andrew Maclachlan


26 Bedford Way
United Kingdom

Vishal will provide concrete examples of his academic research and how he is using data science techniques in cultural management for cities and governments to measure the economic and social impact of arts and culture in cities. He will also provide insights into how to start a deep tech startup from scratch and how his team is using AI-accelerated hardware and software for photography and the creative industries at Photogram.ai.

About the Speaker

Vishal Kumar

CEO at Photogram.ai

Vishal is a cultural data scientist at The Bartlett’s Centre for Advanced Spatial Analysis (CASA) at UCL researching the economic and social impact of arts and culture in cities. He is interested in technology for arts and culture, the science of cities, and uses data in a creative and impactful way, particularly data visualisation, information design & creative AI. Vishal works for a range of public and private cultural institutions including and is the lead data scientist for London Borough of Culture Programme 2019. He is a Visiting Associate the Centre for Urban Science and Progress (CUSP) London based at King’s College London, a visiting lecturer at the Sotheby’s Institute of Art and Christie’s Education, and is a member of the Museums AI Network and Cities of Culture Research Network. Vishal is also interested in championing arts and culture through entrepreneurship. He is the CEO and co-founder of Photogram.ai, a computational photography startup founded on Entrepreneur First LD12 cohort but now at UCL Innovation & Enterprise and part of the NVIDIA AI Inception Program, and was a semi-finalist in the Creative Industries Award for the Mayor of London's Entrepreneur Competition 2019. Vishal previously studied at the London School of Economics and Sotheby’s Institute of Art and worked at Sotheby’s as a Data Scientist.

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