Sam Ackerman is a research statistician/data scientist at IBM Research Labs in Haifa, Israel, where he develops techniques for measuring the quality of AI models and detecting changes in model performance. He writes a blog on less-covered statistical topics applied to data science, such as density estimation, outlier detection, and sampling, at https://www.research.ibm.com/haifa/dept/vst/ML-QA.shtml. In addition, he has published the mapStats and animalEKF software packages for R. He received his PhD in statistics from Temple University (Philadelphia, PA) in 2018.