About Eigenvector Research, Inc.

Eigenvector Research was founded by Barry M. Wise and Neal B. Gallagher on January 1, 1995. Both co-founders hold doctorates in chemical engineering and have broad experience modeling chemical systems using both theoretical and empirical approaches. Jeremy M. Shaver, Chief of Technology Development, joined Eigenvector in 2001. Shaver holds a doctorate in analytical chemistry and is especially well versed in the application of chemometrics to spectroscopy. Chief Eigenspectroscopist Willem Windig is especially well known for his work in curve resolution (e.g. SIMPLISMA, DECRA, CODA). Senior Research Scientist Charles E. Miller brings extensive process and spectroscopic chemometrics expertise to Eigenvector. Our most recent addition, Senior Research Scientist Robert T. Roginski, comes to us from the pharmaceutical sector where he has been involved in many aspects of Process Analytical Technology (PAT). Software Engineer R. Scott Koch, specialist in software management and database design, rounds out the technical staff. Our experienced staff makes Eigenvector Research well prepared to apply modern multivariate statistical methods to your data while keeping a firm grasp of the underlying chemical, physical and biological aspects of the system.

Want a layman's explanation of our work? See what our local paper, the Lake Chelan Mirror, had to say about us in their June 13, 2001 article, "They've Got Chemistry."

     
    R. SCOTT KOCH        
               
               

Software Products
 Eigenvector Research is owned and operated by the authors of the PLS_Toolbox for use with MATLABŪ. The PLS_Toolbox is the most advanced chemometrics package available today. Our experience in developing end-user software translates into powerful tools for your special applications.



Services
We offer a wide range of chemical data analysis and custom application development consulting services. This includes applications of both established and state-of-the-art chemometric techniques. Eigenvector Research can also work with you to develop new analytical instruments and processes and to develop custom models and software for process monitoring, fault and upset detection, and dynamic models for process control purposes.

Data Modeling Techniques
Eigenvector Research has experience with a wide variety of process data modeling techniques including:

  • Data exploration: Principal Components Analysis (PCA), and cluster analysis
  • Linear regression: Partial Least Squares (PLS), Principal Components Regression (PCR) and Continuum Regression
  • Non-linear modeling: Neural Net-PLS and Locally Weighted Regression
  • Genetic Algorithms: GAs for variable and non-linear model structure selection
  • Second-order calibration: Generalized Rank Annihilation, Multivariate Curve Resolution and Evolving Factor Analysis

Eigenvector Research, Inc., 3905 West Eaglerock Drive, Wenatchee, WA 98801
B.M. Wise, bmw@eigenvector.com, Phone: 509.662.9213, Fax: 509.662.9214
N.B. Gallagher, nealg@eigenvector.com, Phone: 509.687.1039, Fax: 509.687.2033