United States
Bioinformatics and genomics scientist with 10+ years of experience translating complex NGS and multi-omics data into actionable clinical and research insights. I specialize in human genetics, cancer genomics, and translational bioinformatics, with hands-on expertise across WGS, RNA-seq (bulk and single-cell), targeted sequencing panels, and long-read technologies. I design, build, and optimize scalable bioinformatics pipelines; perform variant analysis and interpretation; and apply machine learning approaches for data quality assessment and biomarker discovery. My work spans both research and clinical contexts, supporting assay development, clinical validation, and data-driven decision-making. I work closely with scientists, clinicians, product teams, and external partners to bridge computational analysis with biological and clinical insight. I’m known for clearly communicating complex results to diverse audiences, contributing to cross-functional initiatives, and enabling teams and customers to get maximum value from genomic technologies. I thrive at the intersection of science, data, and people, whether advising on experimental design, troubleshooting bioinformatics workflows, supporting customer-facing engagements, or translating results into meaningful outcomes. Driven by the impact of genomics on precision medicine, oncology, and translational research.
Lead complex biological data analysis projects supporting clinical and research initiatives, apply machine learning methods, evaluate data quality, identify technical artifacts, and uncover biologically meaningful patterns. Design analytical frameworks and pipelines, perform biological interpretation, validate scientific outputs for accuracy, and clarity.
Collaborate with key opinion leaders, investigators, healthcare professionals and cross functional teams, presenting results, and providing insights and feedback that contribute to product improvements and feature enhancements. Provided scientific and technical expertise to support the development and execution of clinical and research-based experiments. Perform a variety of data analysis and interpretation to support generation of insights and strategy recommendations.
Multi-omics data analysis; Develop approach and algorithm for joint analysis of gene expression, miRNA expression and DNA methylation data; Grant writing, presenting results to interdisciplinary audiences.
Clinical optimization/validation of targeted cancer panels; Development of analysis pipelines and result interpretation; identifying potential biomarkers and therapeutic targets, contributing to the advancement of personalized medicine; WGS, WES, bulk RNAseq analysis and Neoantigen prediction; Statistical analysis and visualization; Presenting to internal and external stakeholders, communicating complex scientific concepts to interdisciplinary audiences.