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Key Personnel

John Antonuk

Robert Stright

Charles H. King

Lawrence Koppelman

Randall Vickroy

Donald T. Spangenberg, Jr.

John B. Adger, Jr.

Alan J. Salzberg

Christine Kozlosky

Dennis Kalbarczyk

Mark Lautenschlager

Phillip S. Teumim

Yavuz Arik



Alan J. Salzberg, Ph.D., the president of Quantitative Analysis, Inc., works regularly with Liberty in performing engagements requiring substantial statistical or other quantitative analysis. Alanís extensive experience in statistical analysis and modeling comes from a wealth of work for many government entities and as a consultant with Quantitative Analysis and Liberty. Dr. Salzberg brings to Liberty particularly strong capabilities in: 

  • Statistical analysis and modeling
  • Development and examination of data management systems
  • Utility service quality metrics and testing.

Dr. Salzberg holds a Ph.D. in Statistics from the Wharton School of the University of Pennsylvania. He also holds a Bachelor's of Science in Economics, cum laude, from the Wharton School of the University of Pennsylvania.

 Project Highlights

 Alan has worked on several wholesale telecommunications performance measures audits for Liberty, taking a lead role in the evaluation of the Performance Assurance Plan.

 Alan has worked for public service commissions in numerous states as part of operations support system testing to evaluate systems and performance measurement to validate market openness prior to RBOC entry into intra-LATA long-distance markets.

 Alan has performed numerous projects for government agencies; for example, he served as the lead statistician in a sample of all information technology property and equipment at the IRS offices nationwide, and he designed and analyzed a sample for the U.S. Department of Justice to determine the number of convicted criminals mistakenly naturalized as U.S. Citizens.

 Dr. Salzberg has also performed consulting services for the City of New York (Corporation Counsel), the U.S. Customs Service, and the U.S. Treasury's Office of Inspector General.

 Alan has performed substantial research on techniques for accurate statistical estimation with limited or biased data; his work includes papers published in The American Statistician and Gene.

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