SUMMARY:

• Proven track record of integrating and analyzing various types of large - scale biomedical data as well as ‘omics data (such as next generation sequence data and Microarray data).
• Specialized in data analysis and hypothesis testing, correlated data analysis, multivariate analysis, multiple comparison adjustment, class prediction, sequencing alignment, SNP/INDEL/SV and Fusion gene discovery, survival analysis and data quality control in a ‘omic/clinical setting.
• Demonstrated ability to meet new challenges and develop innovative solutions in direct support of business objectives
• In-depth domain knowledge in genome, statistics, epidemiology and biology
• Solid analytical and programming skills that lead to effective and timely problem solving
• A superb team player working both cooperatively and independently

SKILLS IN BIOSTATISTICS AND BIOINFORMATICS:

Statistical Programs: R, S-Plus, SAS

Application Languages: PERL, PYTHON, SQL/MySQL,UNIX Shell Scripting

Platforms and Programming Environments: Unix/Linux

Database and Relative Tools: TOAD with Oracle and MySQL, NCBI, SwissProt, UCSC Genome Browser.

Bioinformatics Software Tools: SAMTools, BWA, Bowtie, FastQC, CuffLinks, TopHat, GATK, Defuse, FusionMap, SOAP, RUM, NovoCraft, BedTools, MACS, CEAS, Galaxy/Cistrome, Circos, BioConductor, d-chip, BRB ArrayTools, Partek Genomics Suite, cgatools, GeomeSpace/GenePattern, IGV, Ingenuity Variants Analysis/Pathway Analysis

PROFESSIONAL EXPERIENCE:

Confidential, Rockville, Maryland

Sr. Bioinformatics Scientist

Responsibilities:

• Investigate the epigenomic and genomic attributes of various cancer systems; explore relationship between global attributes of cancer cells and their behavior in the clinical context.
• Develop analysis pipelines for Confidential data (whole genome sequencing, whole exome-seq, RNA-seq and Chip-seq) from Gastrointestinal Cancer, Breast cancer, melanoma cancer etc.
• Conduct data analyses of Confidential projects.
• Collaborate with PIs from Confidential CCR and DCEG for multiple ‘omic data analysis.

Confidential, Rockville, Maryland

Principal Scientist

Responsibilities:

• Support Confidential analysis pipelines for expression, methylation, copy number and mutation data of more than 20 different cancer types and load/update data to MySQL DB in the Confidential CBIIT for Confidential project.
• Analyze multiple types of Confidential data (Exome-Seq, and RNA-Seq).
• Lead analysis of genetic and genomic data in direct support of software development.
• GenePattern/IGV integration with caIntegrator/Rembrandt.

Confidential, Cambridge, MA

Application Science Manager/Director of Field Applications

Responsibilities:

• Provide customer focused next generation sequencing and bioinformatics service.
• Demonstrate Confidential Next Generation Sequencing ( Confidential ) products to customers from pharmaceutical company, research institute and hospital.
• Lead field application scientist (FAS) team in USA to ensure that Confidential provides excellent customer support for Confidential platforms.
• Work with customers to fully understand Confidential technology and help define experimental design and bioinformatics analysis. Communicate effectively within team to enhance others knowledge.
• Manage Confidential projects from BigPharm.

Confidential, Rockville, Maryland

Senior Scientist

Responsibilities:

• Lead analysis of genetic and genomic data in direct support of software development.
• Design and Implement statistical algorithms such as t test, Wilcoxin, One-Way ANOVA, Multiple comparison adjustment (FDR, Bonferroni), Hierarchical clustering, Principal component analysis ( Confidential ), correlation analysis into caIntegrator application
• Provide analysis support for Exon, gene expression, SNP and Methylation data for further run-time analysis and visualization through caIntegrator application and GenePattern Integration
• Identify genes correlated with survival and adjusted with covariate factors
• Work with software engineers and scientists to outline developmental requirements and tool implementation for analysis automation.
• Submit array data to NCBI GEO and caArray.
• GenePattern-caIntegrator Integration including module/pipeline development .
• Next-generation sequencing data analysis.

Confidential, Rockville, MD

Responsibilities:

• Analyze statistical methods for gene expression data.
• Perform statistical analyses of microarray projects for comparing gene expression profile
• Investigate methods for studying interaction of multiple pathways and their relationship with gene expression profiles.

Confidential, Baltimore, MD

Research Fellow

Responsibilities:

• Contributed to the study of the C/EBP family of transcription factors in hematopoiesis.
• Extensive work with cell culture, transfection, transgene and common techniques to study regulation of gene expression and protein detection.
• Experience with murine stem cell transduction by retrovirus and lentivirus.

Confidential, Frederick, MD

Visiting Fellow

Responsibilities:

• Investigated antibody targeted RNases for tumor therapy as well as using phage display to generate human antibodies to molecular targets for malignant tumors.

Confidential, San Diego, CA 9

Postdoctoral Fellow

Responsibilities:

• Used Confidential and MacVector to map the IgE B and T cell epitopes
• Cloned IgE B and T cell epitopes to CDR3 in antigenized immunoglobulin.

Confidential

Assistant Professor

Responsibilities:

• Generated human anti- Confidential monoclonal antibody Fab fragments using phage display.