Chris is the Director of Statistical Research and Development for JMP. He joined JMP as a statistical software developer in 2003 after graduating with a Ph.D. in Statistics from North Carolina State University. Chris's areas of expertise are in computational statistics and the development of statistical methodology. He has made contributions in the areas of optimal design of experiments, neural networks, reliability engineering methods, statistical process control, mixed models, robust statistical techniques, optimization algorithms, and numerical integration.
JMP 11 is a big step forward on many fronts, but especially for JMP Pro. From the time it was introduced in JMP 9, JMP Pro has been predominantly focused on predictive modeling, with more sophisticated procedures for fitting neural networks and boosting and bootstrapping regression tree models. JMP Pro
It’s almost time for JSM again, which is always one of my favorite times of year! The JMP team is having another big year at JSM with 10 presentations, panel discussions and poster sessions, not to mention the second annual JSM JMP Mixer. Last year’s JMP Mixer in San Diego
It’s that time of year again -- we’re all gearing up for the Joint Statistical Meetings (JSM), this time in San Diego. JSM week has always been one of my favorite times of year. For us JMP R&D folks, JSM is a great change of pace: We put our sales