Thomas A. Sellers, Ph.D.
Center Director, Moffitt Cancer Center & Research Institute 
Executive Vice President
Moffitt Cancer Center 
12902 Magnolia Drive
H.Lee Moffitt Cancer Center and Research Institute.
SRB-CDO Tampa, Fl 33612-9416
P: (813) 745-1315 F: (813) 449-8126
Thomas.Sellers@Moffitt.org


What Is My Background?
My undergraduate degree (BS) is in nutrition, so I started in the laboratory sciences. My graduate degrees (MPH, PhD) are in epidemiology because I was interested in understanding the association between diet and disease at the population level. My postdoctoral training is in statistical genetics and was pursued when I realized that ignoring genetics would make it virtually impossible to fully relate diet to disease.


What Do I Do At Moffitt Cancer Center?
See Professional Activities.


What Is My Contribution To This Research Program?
I have the honor to serve as Principal Investigator and work with a very talented and committed multidisciplinary team of faculty and staff. My role is to provide support, encouragement, recognition and an environment of respect and creativity.


 

Brett Reid, MPH
Senior Data Analyst
Cancer Epidemiology Program

 

What Is My Background?
I received my B.S. in Biomedical Science and Mathematics from the University of South Florida and continued my studies at USF College of Public Health where I received my MPH with a dual concentration in Epidemiology and Biostatistics. After a two-year fellowship at the National Cancer Institute in the Epidemiology and Genomics Research Program, I have been at the Moffitt Cancer Center since 2013.


What Do I Do At Moffitt Cancer Center?
I have worked on several large-scale genome-wide association studies (GWAS) and have developed a strong analytical skillset that includes bioinformatic/statistical analysis of SNP, CNV, epigenetic, and transcriptome data; and extensive knowledge of public datasets such as TCGA and ENCODE. I develop statistical analysis plans and bioinformatic pipelines with an objective to streamline the analytic workflow.


What Is My Contribution To This Research Program?
I am interested in novel methodologies for genomic studies, particularly those incorporating multi-omics data for sequence variation analyses. I aim to contribute novel ideas, perspective, and methods to the research program. As a doctoral student at USF, I hope to build my research portfolio around approaches that couple computational biology with population-based methods and develop innovative frameworks/methodologies modeling the complexity of germline-somatic and macro-micro factors.


 

Y. Ann Chen, PhD
Associate Member
Department of Biostatistics and Bioinformatics

 

What Is My Background?
I received my bachelor degree in Zoology from National Taiwan University. I shifted my career focus slightly and obtained my Ph. D. degree in Bioinformatics and Biostatistics at Medical University of South Carolina. In the summer of 2008, after two years of postdoctoral training in the Department of Statistics at Texas A&M University, I found a good home at Moffitt Cancer Center where I could contribute to cancer research by developing and applying statistics and bioinformatics tools.

 

What Do I Do At Moffitt Cancer Center?
I am a faculty member with a strong portfolio of collaborations and focused efforts on developing statistical methods and computational tools to incorporate multiple sources of large-scale genomics and proteomics data, select biologically relevant markers, and predict clinical outcomes in a unified framework. Facing additional challenges observed in the high-throughput datasets, such as nonlinearity and high noise levels, my work on nonparametric methods for the detection of nonlinear and multi-scale correlation has enabled the identification of key genes for the development of pathological conditions, which might have been missed by traditional linear methods.

Dr. Chen's Labpage

 

What Is My Contribution To This Research Program?
My research has focused on developing statistical methods and computational tools to incorporate multiple data sources, select biologically relevant markers, and predict clinical outcomes in a unified framework. My work on Bayesian methodological development of data integration for regulatory network inference and pathway and gene selection for cancer survival prediction facilitates the identification of deregulated pathways with therapeutic relevance in subsets of human cancer. I am working on developing statistical methods to select relevant pathways and SNPs for cancer genome-wide association studies. My work on nonparametric method improvement for the detection of nonlinear correlation has enabled the identification of key genes for the development of pathological conditions, which might have been missed by traditional methods to detect merely linear relationships. As a co-investigator for studies using proteomics and other emerging technologies, large-scale genomics studies, and genetic epidemiology study, I also work on identifying novel biomarker strategies to guide clinical decision making.


 

Zhihua Chen, MS
Bioinformatics Scientist
Cancer Informatics Shared Resource Core

 

What Is My Background?
I received my B.S. in Physics at Jilin University in China in 1998, and M.S in Computer Science at Vanderbilt University in Nashville, TN in 2001. I did my doctoral studies in the field of Machine Learning at Vanderbilt University before joining Moffitt in 2005.

 

What Do I Do At Moffitt Cancer Center?
OMICS data analysis. Statistical computing. Web based application development. Database development. Efficiency analysis of computational algorithms. My research interests are in Statistical Learning,  Visualization, and Web-based App Design.

 

What Is My Contribution To This Research Program?
Coverage analysis for custom targeted sequencing design. Adapting an in-house RNAseq pipeline for lncrna quantification. In depth comparative analysis of sequencing and array platforms for lncrna quantification. Web based tool for platform comparison. Evaluation of Circular RNA detection techniques.