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Human-centered Design in Data Science

November 5, 2018
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Peter Bull, a data scientist for social good and co-founder of Driven Data, talks about the importance of human-centered design in data science. 

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About Peter Bull

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Peter is a co-founder at DrivenData, whose mission is to bring the power of data science to the social sector. DrivenData builds software that uses data and artificial intelligence for non-profits, NGOs, and governments. DrivenData also engages a global community of data scientists is online competitions that leverage data for the greater good. Recently Peter has worked on projects in lung cancer prediction, anti-human-trafficking, crop yield modeling, and digital financial services for rural populations. He also maintains the Cookiecutter Data Science and Deon open source projects. Peter earned his master's in Computational Science and Engineering from Harvard. Previously he worked as a software engineer at Microsoft and earned a BA in philosophy from Yale University. 

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Meet our host
Hugo Bowne-Anderson

Hugo is a data scientist, educator, writer and podcaster at DataCamp. His main interests are promoting data & AI literacy, helping to spread data skills through organizations and society and doing amateur stand up comedy in NYC.


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