Meet the team
Stephen is a Statistician with over thirty years of experience working in industrial statistics, reliability, and metrology. He received his B.S. degree in Mathematics from Abilene Christian University and his M.S. and Ph.D. in Statistics from Iowa State University with an emphasis in statistical process control (SPC).
Areas of expertise include: Statistical process control, design of experiments, complex system reliability, and design and analysis of metrology studies.
Dr. Stephen Crowder
Collin is an Electrical Engineer with over ten years of professional experience in metrology and software development. He received his B.S. degree in Electrical Engineering from Kansas State University and his Ph.D. in Electrical Engineering, with an emphasis in microelectronics and nanotechnology, from Purdue University.
Areas of expertise include: Semiconductor fabrication and nanoscale electronics, software engineering for metrology applications, calibration asset drift and interval analysis, and measurement decision risk.
Dr. Collin Delker
Eric is a Mechanical and Nuclear Engineer with over ten years of professional experience in the areas of physical/radiation metrology, surface science, explosives engineering, and nuclear reactor analysis. He received his B.S., M.S., and Ph.D. in Nuclear Science & Engineering from MIT, where he was a National Nuclear Security Administration Fellow. His research focused on high speed optical/infrared imaging and development of nanoengineered surfaces. Eric specializes in uncertainty analyses for complex experimental measurements.
Areas of expertise include: High speed videography and photometric measurements, infrared thermography, alpha and beta particle detection, neutron detection, gamma spectroscopy, profilometry and surface roughness measurements, and surface science measurements (XPS, EDS, XRD, SEM).
Dr. Eric Forrest
Nevin is a Statistician with five years of experience in statistical consulting. She received her B.S. degree in Finance from the University of Arizona and her M.S. degree in Statistics from the University of New Mexico. Nevin collaborates on a wide range of projects that include work in statistical computing with R, data visualization and modeling, and uncertainty quantification. She teaches a short course on “Introduction to Statistical Computing in R” and develops R-code for the application of statistics in metrology.
Areas of expertise include: Uncertainty quantification (UQ) for computer models, including input uncertainty characterization and uncertainty propagation methods, binary measurement systems, functional data analysis methods, statistical computing in R.
Nevin Martin
