Dr. John Zhang is a Founder and the President of Systems Analytics. Previously, he was VP Engineering and VP Technology at technology companies Delta Search Labs and Sparkice, Inc., respectively, managing the development and marketing of engineering software products. Prior to that, he was a program manager at Aerodyne Research, Inc. and a senior computational engineering consultant at Earth Technology Corp. (now part of Tyco Corp.). Dr. Zhang received his Ph.D. and M.S. from MIT. He is also the general manager of Shuneng Network Technology Company, www.snvote.com, developing and popularizing a fair and just voting platform which removes the effect of fraudulent votes.

Our Business Advisor Mr. Peter Miller is COO of Genomic Healthcare Strategies. He was a founding member, and later VP, COO, and Board member of Abt Associates Inc; the former Board Chairman of the International MIT Enterprise Forum; and a past Board member of the MIT Alumni Association. As an experienced entrepreneur, manager, strategist, innovator, and coach, Mr. Miller sits on multiple corporate boards.

Our Scientific Advisor Dr. John Quackenbush is a Professor of Computational Biology and Bioinformatics at the Harvard School of Public Health, and Professor of Cancer Biology at the Dana- Farber Cancer Institute. His research focuses on the application of functional genomics techniques including microarrays, proteomics, metabolomics, and other high-through approaches and the development of computational approaches in support of these studies to develop a comprehensive view of human diseases including cancer. He sits on several corporate scientific advisory boards.

The principals and supporting staff of Systems Analytics are highly qualified scientists, engineers and business professionals with many years of relevant experience. They have developed, evaluated, and applied numerous computational algorithms for both public agencies and private industries. These ongoing efforts serve to maintain their position at the leading edge of bioinformatics technology and better enable them to assist customers in planning for and solving practical biological data analysis problems.


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