Wang Yu-Ping, PhD.
Adjunct Associate Professor,
Biomedical Engineering Department
and Global Biostatistics and Data Science Department (Adjunct)
623 Lindy Boggs Bldg., New Orleans, LA 70118 (uptown)
1440 Canal Street, Suite 2001, New Orleans, LA 70112 (downtown)
Phone: 504-8655867 (uptown); 504-9881341(downtown)
Click to visit Dr. Wang's laboratory website
The Multiscale Bioimaging and Bioinformatics Laboratory at Tulane University has three research themes: 1. Fundamental research on multiscale signal/image representation and analysis; 2. Multiscale bioimaging analysis from organ and tissue levels to molecular and cellular levels; and 3. Bioinformatics in human genomics and cytogenetics. Currently, we are working on information extraction and integration from multiscale and multimodality genomic imaging data. One of our goals is to bring the biomedical technique into commercial use. We are using a multidisciplinary approach and working closely with computational scientists, statisticians, medical geneticists and industrial engineers at Tulane Medical Center and all over the world.
2009 NIH Academic Research Enhancement Award (AREA)
2005 University of Missouri-Kansas City Faculty Research Grant Award.
2004 New Faculty Teaching Scholarship, University of Missouri Systems.
1996 Awards for Best University Graduates of Shannxi Province (highest honor of the university)
1995 Excellent Postgraduate Awards at Xi'an Jaiotong University, China.
1994 505 Awards conferred by the 505 Pharmacy Corporation, China.
1990 Third place in the college mathematical contest among 20 universities in the city of Tianjin.
1989 Excellent Student Awards at Tianjin University, China.
Other Experience and Professional Memberships:
2005 Keynote speaker, Wavelets meet genetic imaging, SPIE Wavelets XI Conference, San Diego,
2009- NIH Review panels, including the following recent study sections: Challenge grant panel (June 2009), Health IT (June 2010), SBIR (Oct. 2010), Health IT (March, 2011)
2004- NSF review panels such as the CCF and ABI program
2004- Grant reviewer for the University of Missouri Research Board
2009 Grant reviewer for the Science and Technology Program, North Carolina Biotechnology Center
2010 Grant reviewer for James & Esther King Biomedical Research Program, Florida Department of Health
2005- Member of numerous program committees such as Workshops on Machine Learning in Biomedicine and Bioinformatics, IEEE Conference on Bioinformatics and Biomedicine (BIBM)
2005-2008 Member of committee on Machine Learning on Signal Processing of IEEE Signal Processing Society
2004 Guest editor, J. of VLSI Signal Processing special issue on Genomic Signal Processing.
2004 Co-organizer (with Robert Murphy) of the special session on the Imaging of Gene Expression: From Microarrays to In Vivo Studies
Postdoctoral research, medical imaging, Washington University Medical School, St. Louis, MO, 1999.
Ph.D., Communications and Electronic Systems, Xi'an Jiaotong University, Xi'an, China, 1996.
M.S., Computational Mathematics, Xi'an Jiaotong University, Xi'an, China, 1993.
B.S., Applied Mathematics, Tianjin University, Tianjin, China, 1990.
Ongoing Research Support:
- NIH 1R21LM010042-01, Wang Yu-Ping (PI) 07/1/2009-06/30/2011
A New Paradigm for Integrated Analysis of Multiscale Genomic Imaging Datasets
The goal of the project is to develop a public accessible database system that can combine structural and functional image datasets for systems biology analysis.
- NIH 1R15GM088802-01, Wang Yu-Ping (PI) 09/21/2009-08/30/2012
Accurate detection of chromosomal abnormalities with multi-color image processing
The goal of the project is to develop image processing algorithms for the detection of chromosome aberrations with clinical validations.
- NSF, DBI 0849932, Wang Yu-Ping (PI) 12/01/2009-11/30/2012
Multiscale Genomic Imaging Informatics
A theory and database systems will be proposed for systems biology analysis of multiscale biological systems.
- Ladies Leukemia League grant, Wang Yu-Ping (PI) 05/1/2011-04/30/2012
Bioinformtics technique for accurate subtype classification of myelodysplastic syndrome (MDS)"
The project will develop bioinformatics approach for subtyping of MDS for personalized diagnosis
J. Sheng, V. Calhoun, H.W. Deng and Y.-P Wang, An integrated analysis of gene expression and copy number data on gene shaving using independent component analysis, IEEE Trans. Computational Biology and Bioinformatics, in press, 2011.
J. Chen, Ayten Yiğiter,Y.-P. Wang, and H.-W. Deng, A Bayesian Analysis for Identifying DNA Copy Number Variations Using a Compound Poisson Process, J. Bioinformatics and Systems Biology, Vol. 2010 (2010).
Jie Chen and Y.-P. Wang, A statistical model-based approach for the identification of DNA copy number changes in array CGH datasets, IEEE Trans. Computational Biology and Bioinformatics, 6(4), Oct.-Dec. issue, 2009.
Yu-Ping Wang, Multiscale genomic imaging informatics, IEEE Signal Processing Magazine, pp.169-172, 2009.
Y.-P. Wang, M. Gunampally, J. Chen, D. Bittel, M. Butler and W.-W. Cai, A Comparison of Fuzzy Clustering Approaches for Quantification of Microarray Gene Expression, Journal of VLSI Signal Processing Special Issue on Machine Learning for Microarray and Sequence Analysis, 2007.
Yu-Ping Wang, Q. Wu, Ken. Castleman, Z. Xiong , Chromosome Image Enhancement Using Multiscale Differential Operators , IEEE Trans. Medical Imaging, vol. 22, no.5, May, 2003..
Yu-Ping Wang and Ashok Dandpat, A Hybrid Approach of Using Wavelets and Fuzzy Clustering for Classifying Multi-spectral Florescence in Situ Hybridization Images, Int. Journal of Biomedical Imaging, vol. 2006, pp. 1-11, 2006.
Yu-Ping Wang, Husain Ragib, and Chi-Ming Huang, A wavelet approach for the identification of axonal synaptic varicosities from microscope images, IEEE Trans. Information Technology in Biomedicine, 11(3): 296-304, May, 2007.
Yu-Ping Wang and Wei-Wen Cai, Genetic imaging: where imaging science meets cytogenetic research, Biophotonics Magazine, Nov., 2004.
Yu-Ping Wang, Q. Wu, Ken. Castleman, Z. Xiong , Chromosome Image Enhancement Using Multiscale Differential Operators , IEEE Trans. Medical Imaging, vol. 22, no.5, May, 2003.
Level of Instruction:
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