
Kevin Kunzmann
Principal Methods Statistician, Boehringer Ingelheim Statisticians, Machine Learning, Differentiable Programming, Clinical Trials, Coding, Data, R-tist

About this speaker
Kevin is a statistician passionate about closing the edge between cutting edge methodological research and real-world applications for decision making. He is a champion for reproducible research and works towards adoption of open-source tools at enterprise scale.
Kevin has published more than 50 peer-reviewed articles, has both authored as well as contributed to multiple R packages, and speaks about both methodological as well as technological aspects of statistics and quantitative decision-making.
Kevin holds a doctorate in biostatistics from Heidelberg University and works as methodology statistician for Boehringer Ingelheim.