Chris Gotwalt leads the statistical software development and testing teams for JMP. His passion is developing new technologies that accelerate innovation in industry and science. Since joining SAS as a PhD student intern in 2001, Gotwalt has contributed many numerical algorithms and new statistical techniques to JMP. He has authored algorithms in JMP for fitting neural networks, linear mixed models, optimal design of experiments, analytical procedures for text analysis, and the algorithms for fitting structural equation models. Gotwalt is a principal investigator for Self-Validating Ensemble Models (SVEM), a procedure that makes machine learning possible for the small data sets often encountered in industry. He holds adjunct professorial positions at North Carolina State University, University of Nebraska and University of New Hampshire, and was the 2020 Chair of the Quality and Productivity Section of the American Statistical Association.