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Jon Krohn

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Jon Krohn

The Real-World Impact of Cross-Disciplinary Data Science Collaboration

Added on August 3, 2022 by Jon Krohn.

How to unlock breakthroughs — particularly in medicine — through cross-disciplinary data science is the main topic covered this week with the fascinating, trailblazing Professor Philip Bourne.

Philip:
• Is Founding Dean of the University of Virginia's School of Data Science.
• Is also Professor of Biomedical Engineering at Virginia.
• Is Founding Editor-in-Chief of the open-access journal PLOS Computational Biology.
• Was previously Associate Director for Data Science of The National Institutes of Health

Despite Prof. Bourne being a deep technical expert, he conveys concepts so magnificently that today’s episode should be broadly appealing to practicing data scientists and non-technical listeners alike.

In this episode, Philip details:
• Why he founded a School of Data Science.
• Why such schools are uniquely positioned to bear the fruits of applied data science research within universities.
• What the most important data science skills are.
• How computing and data science have evolved across academic departments in the recent decades.
• Fascinating practical applications of his biomedical data science research into the structure and function of biological proteins.
• The absolutely essential role of open-source software and open-access publishing in data science.

The SuperDataScience show's available on all major podcasting platforms, YouTube, and at SuperDataScience.com.

In Data Science, Interview, Podcast, SuperDataScience, YouTube, Professional Development Tags superdatascience, machinelearning, datascience, health, research
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