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Pharmaceuticals and Data Science

July 30, 2018
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What are the biggest challenges in Pharmaceuticals that data science can help to solve?

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About Max Kuhn


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Guest
Max Kuhn

Max Kuhn is a software engineer at RStudio. He is currently working on improving R’s modeling capabilities. He has a Ph.D. in Biostatistics. Max was a Senior Director of Nonclinical Statistics at Pfizer Global R&D in Connecticut. He was applying models in the pharmaceutical and diagnostic industries for over 18 years.


Max is the author of numerous R packages for techniques in machine learning (caret, C50, Cubist, recipes, and others) and reproducible research. These packages are downloaded over 200K times per month. Max is an Associate Editor for the Journal of Statistical Software. He, and Kjell Johnson, wrote the book Applied Predictive Modeling, which won the Ziegel award from the American Statistical Association, which recognizes the best book reviewed in Technometrics in 2015. They are currently writing another book on Feature Engineering


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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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