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W. Philip Kegelmeyer
        W. Philip Kegelmeyer
Senior Scientist
Sandia National Laboratories
P.O. Box 969, Mail Stop 9159
Livermore, CA 94551
Center:  Computer Sciences and Information Systems
Phone: (925) 294-3016
Cell: (925) 413-2457
Fax: (925) 294-2234
E-mail: wpk (at)

Philip Kegelmeyer (E.E. Ph.D, Stanford) is a Senior Scientist at Sandia National Laboratories in Livermore, CA. His current interests are machine learning and graph algorithms, especially as applied to ugly, obdurate, real-world data which is, perhaps deliberately, actively resistant to analysis.

At present he leads a research effort in "Counter Adversarial Data Analytics". The core idea is to take an vulnerability assessment approach to quantitatively assessing, and perhaps counting, the result of an adversary knowing and adapting to exactly whatever specific data analysis method might be in use.

In prior work, he was the Principal Investigator for a large (forty part-time staff) "Grand Challenge" internal research and development project devoted to network analysis. Prior to the NGC he led the Advanced Simulation Computing Data Discovery Program, devoted to search in, and characterization of, petascale scientific simulation data.

Dr. Kegelmeyer has twenty years experience inventing, tinkering with, quantitatively improving, and now, subverting supervised machine learning algorithms (particularly ensemble methods), including investigations into how to accurately and statistically significantly compare such algorithms. His work has resulted in over sixty refereed publications, two patents, and commercial software licenses.

What's New ...

Selected Recent Papers: woefully out of data, but [Click here for a full Google Scholar list] [Or click here for an incomplete list with some PDFs]

Selected Recent Presentations


Recent Professional Service:

Miscellaneous Links: