I'm an applied statistician, quantitative researcher, and technical communicator. At JMP Statistical Discovery, I help scientists, engineers, researchers, and statistics teachers use our software for data visualization, statistical modeling, design of experiments, machine learning, and other applications.My training is in linguistics and cognitive science, and I completed a PhD focused on the cognitive mechanisms underlying human language. I gained expertise in experimental design, EEG ("brain waves"), high speed eye-tracking, coding (mostly R), and statistics, and I published articles in prominent scientific journals. I taught several undergraduate courses, as well. This experience honed my ability for thinking analytically and solving problems empirically, as well as for enabling others to do the same.After stints as a statistics instructor and a teaching consultant, I became a research scientist at Pearson, an education publishing and technology company. I guided product developers in applying scientific insights to the design of Pearson's products, including a redesign of the reading interface in Revel, an interactive learning environment. I also consulted extensively on Pearson's efficacy reports, a first-of-its-kind effort to quantify and communicate the learning impact of several digital courseware products.I ultimately moved to JMP to expand my quantitative skills and to gain exposure to diverse applications in science and industry. I've since delivered hundreds of technical demonstrations, seminars, and consultations on a range of statistical methods and to varied audiences, from semiconductor engineers to molecular biologists to market researchers. I still love education, too, and currently I work extensively with statistics teachers who use our software in the classroom. It's all fascinating and rewarding work.
Listed skills include Research, Experimental Design, Data Analysis, Statistics, and 13 others.