The main contributors to this blog are Max Kuhn and Kjell Johnson. Together, they wrote the book Applied Predictive Modeling, which won the Ziegel award from the American Statistical Association, recognizing the best book reviewed in Technometrics in 2014. They have also co-written Feature Engineering and Selection.

Max Kuhn

Max Kuhn is a software engineer at Posit PBC (formerly known as RStudio Inc), where he is working on improving R’s modeling capabilities and maintaining about 30 packages, including caret and tidymodels. He has a Ph.D. in Biostatistics.

Max was a Senior Director of Nonclinical Statistics at Pfizer Global R&D in Connecticut. He has applied models in the pharmaceutical and diagnostic industries for over 18 years.

He is also the main author of Tidy Modeling with R and was the Drug Discovery Section Editor for Nonclinical Statistics for Pharmaceutical and Biotechnology Industries.

Max can be found at:

Kjell Johnson

Kjell Johnson owns and founded StatTenacity. He has a Ph.D. in Statistics at the University of Kentucky and has contributed to drug discovery projects since 1999. He also enjoys making statistics accessible to non-statisticians. He teaches courses for scientists and statisticians alike, including short courses at the Society for Biomolecular Screening, the American Chemical Society, and the Deming Conference.

Kjell is actively involved in other statistical service activities, including past activities of chairing the Midwest Biopharmaceutical Statistics Workshop Organizing Committee in 2010 and working on the ASA’s Biopharm Executive Committee.