Martin McIntosh, Ph.D., Principal Investigator	Lynn Amon, Ph.D., Staff Scientist
Qiaojun Fang, Ph.D., Post-Doctoral Fellow	Matthew Fitzgibbon, Scientific Software Engineer
Ted Holzman, Scientific Software Engineer	Wendy Law, Ph.D., Staff Scientist/Lab Manager
Qunhua Li, Research Associate	Yan Liu, Statistical Research Associate
Damon May, Scientific Software Engineer	Abby Stimmel, Program Assistant
Yuzheng Zhang, Statistical Research Associate	Sara Lynn Zriny, Project Manager

Martin McIntosh, Ph.D., is a Full Member at the Fred Hutchinson Cancer Research Center (FHCRC) and Principal Investigator of the Computational Proteomics Laboratory (CPL). Dr. McIntosh has a long history of research in biomarkers and early detection of disease, especially of ovarian cancer. He is the leader of an early detection project of the FHCRC's ovarian cancer SPORE award and is one of three PIs of the NCI's proteomics initiative consortia. Dr. McIntosh is PI of the Early Detection Research Network (EDRN) biomarker development laboratory (for breast and ovarian cancer), and his laboratory leads the data integration and mining for several consortia for cancer as well as neurodegenerative disease research. His primary research focus involves discovery and evaluation of biomarkers and biomarker panels for early disease detection. He is an Associate Editor for the Journal of Proteome Research and co-Chair of the biomarker initiative for the Human Proteome Organization (HUPO). Dr. McIntosh serves in leadership positions both at the FHCRC and nationally for biomarker discovery research programs.

Lynn Amon, Ph.D., joined the CPL as a Staff Scientist in 2007 to contribute to data analysis and integration efforts as well as incorporate new methods of genomic analysis. Prior to coming to the FHCRC, she did microarray and QTL data analysis at the University of Washington. Before her work in genomics, Lynn was primarily a computational chemist. Her dissertation in the chemistry department at the University of Washington demonstrated new methods of computing free energy in atomic simulations. Her post-doctoral work in the bioengineering department focused on apply free energy calculation methods to protein-ligand molecular simulations. She also worked at the pharmaceutical company Boehringer Ingelheim where she applied a multitude of computational chemistry methods to drug development.

Qiaojun Fang, Ph.D., joined the CPL as a Post-doctoral Fellow in 2007. Her research interests include data analysis, data integration, and biological interpretation of proteomics data. Qiaojun received a M.S. degree in Biochemistry at Peking University and a Ph.D. degree in Biological Chemistry from David Shortle’s lab at Johns Hopkins University School of Medicine. Her dissertation research was on computational protein structure prediction.

Matthew Fitzgibbon is a Scientific Software Engineer in the CPL and leads the informatics team for the CPL's Breast Cancer Biomarker Discovery Consortium. Prior to joining the CPL, Matt worked on microarray designs and software at the University of Washington and on sequence analysis and comparative genomics tools at Celltech R&D Inc. He has also worked on computer graphics and visualization at Thinking Machines Corp.

Ted Holzman is a Scientific Software Engineer in the CPL. Ted worked as the primary Life Sciences Computer Consultant at the University of Washington for more than 20 years before coming to the FHCRC. Further back in archeological time he was a medical technologist, research tech, technical editor, actor, and dialect coach. He is building proteomics databases and connecting them to other large sources of biological information for the CPL.

Wendy Law, Ph.D., joined the CPL in 2005 as a Staff Scientist and is currently the Laboratory Manager. She coordinates data analysis of several consortia-scale projects for which CPL serves as the Informatics Resource. For her Ph.D. dissertation research at the Hutchinson Center, Wendy studied oncogenic retroviruses that cause tumors in birds through a transduced c-myc gene. She continued to a post-doctoral fellowship in science education at FHCRC, integrating her interests in laboratory science and bioethics, to create authentic research experiences for students. Before joining the CPL, Wendy was a scientific liaison for the National Cancer Institute-funded Clinical Proteomic Technologies for Cancer program and for the International Cancer Biomarker Consortium led by Dr. Lee Hartwell.

Qunhua Li is a Doctoral Student in the Department of Statistics at the University of Washington. Her research interests include mixture model, statistical computing, machine learning, and statistical methods for high dimensional data and proteomic data. Prior to her studies at U.W., Qunhua received a M.S. in Statistics from Texas A&M University and worked as a clinical statistician.

Yan Liu is a senior Statistical Research Associate who joined the CPL in 2005. She has been at the FHCRC since she graduated from Iowa State University in 2000. She has experience as a laboratory scientist in both academic and industry positions. Yan is interested in high dimensional data analysis and in developing programs for proteomics data analysis. In addition to a M.S. in Statistics, she also holds a B.S. in Biochemistry and a M.S. in Neuroscience.

Damon May is a Scientific Software Engineer in the CPL. He is primarily involved in developing novel methods for proteomics data analysis, including Accurate Mass and Time techniques within the msInspect platform. In an earlier incarnation, Damon built expertise in architecture, design, and development of database-driven business applications for seven years at Oracle Corporation. Damon holds an M.S. in Computer Science from the University of Washington.

Abby Stimmel is a Program Assistant for CPL and an Editorial Assistant with the Journal of Proteome Research. She has experience with grant writing and funding research for non-profit organizations. In 2007 Abby received a B.A. in Journalism with a concentration in Criminal Justice from Gonzaga University.

Yuzheng Zhang joined the CPL group as a Statistical Research Associate on November 2007. She works on genomic and proteomic data analysis. Yuzheng holds a M.S. in Statistics & Stochastic Modeling from the University of California, Santa Cruz and a M.S. in Signal & Information Processing, Electronic Engineering from Shantou University, China. Prior to her study at UCSC, she worked as a Research Engineer in a wireless communication research center. Her research interest is in neural network, dynamic time series modeling and multivariate modeling for biomedical data.

Sara Lynn Zriny is the CPL's Project Manager for the Biomarker Discovery Initiative and other serum proteomics biomarker discovery projects. Sara brings to the CPL her experience as a grant administrator at the University of Washington and industry experience in software development, systems integration, and procurement gained while working at SAP, Intersperse, and The Boeing Company. Sara earned an M.B.A. in Management & Policy from the University of Arizona.