Profile - Marcel Brun, Ph.D.

Dr. Marcel Brun leads our programming and development group of BioMath Solutions. He brings his extensive background in computational biology, machine learning, programming, and mathematics to every project.

Dr. Brun is an internationally recognized leader in the fields of genomic signal processing and sample classification. He has published numerous scientific articles and book chapters on data clustering and classification. Before joining BioMath Solutions, Dr. Brun was head of algorithm development at the Translational Genomics Research Institute in Phoenix, Arizona and a faculty member at a number of academic institutions throughout the world. With over 10 years of experience developing algorithms to solve some of the most complex issues facing biologists/companies today: gene network modeling, microarray analysis, pattern recognition techniques, signal processing and applying these to high throughput data, and the development of code for handling and analysis of large data sets can revolutionize your discoveries. In addition, Dr. Brun has lead software development teams that have created tools for several international institutes, the US government, biotechnology, and instrument companies.

Selected publications [See All]

• Lori Dalton, Virginia Ballarin and Marcel Brun, “Clustering Algorithms: On Learning, Validation, Performance, and Applications to Genomics”, to appear in Current Genomics.
• Edward R. Dougherty, Marcel Brun, Jeffrey M. Trent, Michael L. Bittner, "Conditioning-Based Modeling of Contextual Genomic Regulation," IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 6, no. 2, pp. 310-320, Apr.-June 2009, doi:10.1109/TCBB.2007.70247
• Phillip Stafford, Marcel Brun, Edward R. Dougherty, “Three methods for optimization of cross-laboratory and cross-platform microarray expression data”, Nucleic Acids Res. 2007 May; 35(10): e72.
• Jianping Hua, David W. Craig, Marcel Brun, Jennifer Webster, Victoria Zismann, Waibhav Tembe, Keta Joshipura, Matthew J. Huentelman, Edward R. Dougherty, and Dietrich A. Stephan, “SNiPer-HD: improved genotype calling accuracy by an expectation-maximization algorithm for high-density SNP arrays”, Bioinformatics 23(1): pp. 57-63, 2007
• Edward R. Dougherty, Marcel Brun, “On the Number of Close-to-Optimal Feature Sets”, Cancer Informatics 2006:2 pp. 189-196, 2006

Book Chapters

• Roberto Hirata Jr., Marcel Brun, Junior Barrera, and Edward R. Dougherty, “Aperture filters: theory, application, and multiresolution analysis,” Advances In Nonlinear Signal And Image Processing, eds. Sephen Marshall and Giovanni L. Sicuranza, EURASIP Book Series on Signal Processing and Communication, Hindawi Publishing Corporation, 2006.
• Brun Marcel, Johnson Charles D., and Ramos Kenneth S., “Clustering: revealing intrinsic dependencies in microarray data,” Genomic Signal Processing and Statistics, eds. E. R. Dougherty, I. Shmulevich, J. Chen, and Z. J. Wang, EURASIP Book Series on Signal Processing and Communication, Hindawi Publishing Corporation, 2005.