Episode 33

Pharmaceuticals and Data Science (with Max Kuhn)

July 30th, 2018
machine learning

What are the biggest challenges in Pharmaceuticals that data science can help to solve?

About 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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