• Expert in bioinformatics, driving genomics projects focused on Next-Generation Sequencing to expedite scientific discoveries.• Efficient project and data management, ensuring timely completion and rigorous scientific standards.• Provide consultations on effective data management strategies and statistical analyses, improving project outcomes and stakeholder satisfaction.• Ensure report quality, accuracy, and data alignment through thorough review processes.• Develop comprehensive process documentation for quality assurance and reporting methodologies, refining internal procedures and facilitating research reproducibility.• Promote continuous improvement and scientific advancement through the definition and dissemination of new standards and best practices.• Apply AI and machine learning methodologies in genomics data analysis to uncover novel patterns and relationships, illuminating disease mechanisms and enhancing understanding of biological systems.• Conduct advanced analyses in cancer informatics, innovating analytical tools and pipelines using current open-source software.• Collaborate extensively with principal investigators across technologies like RNA-Seq, microbiome data, single cell RNA-Seq, and whole genome data.• Support ongoing research by working with Principal Investigators/doctors to create comprehensive solutions addressing data management, data analysis, and database administration challenges.• Develop sophisticated workflows for high-throughput next-generation sequencing data analysis, generating valuable metrics and actionable insights to ensure report quality and precision.• Utilize advanced techniques to interpret results, offering expert consultation to scientists and doctors on optimal data management practices, methodological intricacies, and statistical analyses.

• Executed both fundamental and intricate analyses in cancer informatics employing up-to-date open-source software, while simultaneously innovating new analytical tools and data processing pipelines.• Engaged in over 100 projects in collaboration with Principal Investigators (PIs), utilizing various genomics technologies.• Established strong partnerships with clients to design, develop, implement, and maintain tailored business solutions focused on data management and analysis, inclusive of database administration, data consolidation, in-depth data analysis, and comprehensive management reporting.• Engineered a robust workflow for Single Cell RNA-Seq Analyses, enhancing the efficiency of data processing and interpretation.• Employed a range of analytical tools to generate valuable metrics, further leveraging these insights to develop data-driven, actionable recommendations for process enhancement and strategic planning.• Assured quality and accuracy by meticulously reviewing reports prior to publication or presentation, ensuring alignment with data and meeting industry standards.

• Conducted in-depth analysis on Next-Generation Sequencing and microarray data to extract differential gene expression profiles, leveraging shell scripting and R/Bioconductor tools to optimize results.• Executed rigorous Quality Assurance (QA) and Quality Control (QC) of raw reads, data normalization, clustering, Principal Component Analysis (PCA), and correlation analysis to ensure data integrity and accuracy.• Utilized R programming language to create visual data representations including heatmaps, Venn diagrams, and correlation plots, enhancing data comprehensibility and accessibility.• Pioneered the Automated Bioinformatics Analysis Package using System on a Chip (ABAPSoC), an innovation aimed at automating Next-Generation Sequencing and microarray data analysis pipelines. The development process involved the use of Python and R in a UNIX/Linux environment and was showcased at MCBIOS 2017 and UT-KBRIN 2017 conferences.• Assumed responsibility for the monitoring and maintenance of High-Performance Computers, servers, and Network Access Storage units, ensuring optimal system functionality and minimizing downtime.

Responsible for data capturing, manipulation, analysis and interpretation of Next Generation Sequencing Data which includes RNA-Seq, ChIP-Seq, Whole Genome Sequencing, De-novo Assembly and Microarray Data using High Performance Computing at Molecular Research Core

• Conducted a thorough analysis of RNA-seq data utilizing the Galaxy server, with the objective of identifying unique gene expression patterns during the process of brain development.• Assisted the department by conducting comprehensive literature reviews, thereby facilitating up-to-date understanding and grounding research in the latest scientific findings.• Tested and evaluated the effectiveness of novel research tools, contributing to process innovation and improved research outcomes.