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Collaborations
Biostatisticians:
She works with Ms.
Blackford on the
development of a method termed, CAM (Correlative
Analysis of Microarrays) to facilitate analysis of very high-dimensional,
in vivo microarray data obtained from tumor samples that present with heterogeneous
compositions, such as Basal Cell Carcinomas of the skin. Dr. Kowalski’s
work
with Mrs. Yeh focuses upon the development of a method termed, GENE_S to
examine the association between sequence diversity and categorical phenotypes,
and in extending this work to proteomics. Her work with Mrs. Zahurak has
been in several areas, including most recently, on the development of a method
termed, HAM (Hypothesis-Based Analysis of Microarrays) to
facilitate high-dimensional. in vitro microarray analysis based on as few as a
single sample per comparison group. The theoretical framework for all three
methods utilizes recent developed extensions in U-Statistics.
Investigators:
Dr. Kowalski collaborates with several investigators throughout the Sidney
Kimmel Comprehensive Cancer Center at Johns Hopkins in the areas of tumor
immunology, including stem and dendritic cell research, thyroid cancer,
skin cancer, and more recently, in acute myeloid leukemia. Her work in
these areas relates to the analysis of genetic and genomic data to select
genes as characteristic for hypothesized clinical pathways. Dr. Kowalski
also collaborates with investigators in the Department of Molecular Microbiology
and Immunology at the Johns Hopkins University Bloomberg School of Public
Health for analysis of genetic sequence data. In addition, Dr. Kowalski
has recently began a collaboration with investigators at the University
of Texas, Houston, Human Genetics Center on relating pedigree data to genomic
data analysis.
Outside of statistical consulting, Dr. Kowalski has participated in the
development and instruction of the course, Clinical Trials in 20 Hours,
offered by her Division. Dr. Kowalski also actively participates in the
oncology journal club as a statistical reviewer for topics such as survival
analysis, surrogate markers, and analysis of microarrays. More recently,
she is directing the thesis of Biostatistics student, Mei-Fen Yeh, entitled, “Nonparametric
Analysis of Sequence Heterogeneity Associated with Injection Drug Usage,” and
is a mentor for Susanne Diehl, a new Postdoctoral Fellow in the Division
of Oncologic Surgery.
Other Collaborations
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Curt
Civin
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JHU, Oncology and Pediatrics
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Stem Cell Research
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Sorin
Draghici
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Wayne State University, Onto-Tools
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Computer software for microarray
analysis
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Charles
Drake
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JHU, Oncology-Immunology/Hematopoies
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In-vitro, T-cell Anergy
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Anita Hawkins
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JHU, Pathology
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Ovarian cancer, karyotyping
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Richard
Markham
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JHSPH, Dept of MMI
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HIV
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Michael
McDevitt
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JHU, Hematology
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AML
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Jyoti Mehrotra
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JHU, Oncology
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Breast cancer stroma
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Alanna
Morrison
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University of Texas, Houston
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Genetic variation related to risk of stroke
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Drew
Pardoll
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JHU, Oncology-Immunology/Hematopoies
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Dendritic cells
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Jonathan
Powell
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JHU, Oncology-Immunology/Hematopoies
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In-vivo, T-cell Anergy
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Daniel
Sauder
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JHU, Dermatology
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Basal cell carcinoma
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Martha
Zeiger
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JHU, Oncologic Surgery
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Endocrinology
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Zhen Zhang
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JHU, Oncology
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Breast cancer, proteomic analysis
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Post-doctoral Research Fellows: Susanne Diehl,
Carole Fakhry
Graduate Student Researcher: Hua-Ling
Tsai
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