I am a Bioinformatics Analyst with 5+ years of experience developing scalable genomics analytics and computational pipelines supporting oncology and immunology drug development programs. My work focuses on transforming large-scale sequencing data into actionable biological insights that support biomarker discovery, patient stratification, and precision medicine initiatives.I specialize in building end-to-end next-generation sequencing (NGS) workflows for RNA-Seq and whole-exome sequencing (WES), integrating quality control, alignment, variant analysis, and downstream statistical modeling. I have extensive experience designing reproducible computational pipelines using tools such as FastQC, STAR, BWA, and Genome Analysis Toolkit, combined with differential expression and pathway analysis using DESeq2 and edgeR.At Sanofi, I worked on translational genomics programs supporting clinical research across Phase I–III trials, where I analyzed multi-omics datasets integrating genomics, transcriptomics, proteomics, and clinical metadata to identify biomarkers and therapeutic response signatures. My analyses contributed to regulatory documentation supporting IND and NDA submissions and helped guide clinical decision-making and patient stratification strategies.Currently at Zifo, I design and optimize scalable bioinformatics pipelines across cloud and high-performance computing environments, leveraging Amazon Web Services and HPC clusters to process terabyte-scale sequencing datasets efficiently. My work also includes implementing containerized and version-controlled workflows using Docker and Git to ensure reproducibility, audit readiness, and regulatory compliance.Technically, my work combines bioinformatics, statistical modeling, and data engineering. I regularly apply Python and R for data analysis, survival modeling, and visualization, including methods such as Kaplan–Meier survival analysis and Cox proportional hazards model to support biomarker validation and clinical outcome analysis.I am passionate about applying computational genomics and multi-omics integration to advance precision medicine and accelerate drug discovery.Core areas of expertise • NGS pipelines (RNA-Seq, WES, variant analysis) • Multi-omics data integration and biomarker discovery • Statistical modeling and survival analysis • Scalable bioinformatics pipelines using Python and R • Cloud and HPC-based genomics workflows • Reproducible research and regulatory-grade analytics
