As a Computational Biologist, I am a passionate and dedicated scientist focused on advancing research by integrating wet lab and computational techniques. My career began with a strong foundation in field biology and laboratory research, which has evolved into a specialization in computational biology. I am experienced in working with large biological datasets and leveraging computational tools to generate insights. This has made me proficient in Linux systems, command-line interfaces, genomic and microbiome analyses, and phylogenetics, where I apply computational methods to study evolutionary relationships.A key strength of mine is the ability to handle complex biological data. I am skilled in data wrangling and statistical analysis using BASH and R, which enables me to efficiently manipulate data and apply advanced statistical techniques. I also specialize in data visualization to create clear, informative graphics that effectively communicate research findings to both technical and non-technical audiences. In addition to these skills, I lead comprehensive data reviews and analyses to generate high-quality deliverables and reports, ensuring they meet internal and external client requirements. I conduct rigorous peer reviews and quality control (QC) of data files, ensuring their accuracy and integrity before dissemination. Additionally, I automate and streamline data workflows using R, BASH, and SLURM to improve the efficiency of the analysis process.Looking ahead, I am committed to further developing my expertise in data analysis and visualization, continuing to build analytical workflows that promote high quality research. I have designed and maintained robust data visualization and transfer programs, ensuring seamless flow of critical insights across teams. I have also performed data reconciliation with external sources to ensure consistency and accuracy. In addition, I have developed custom data collection tools to improve project workflows and enhance data capture quality. By collaborating on the creation of standardized analytical tools, I have helped improve data management efficiency, boosting throughput and accelerating decision-making. I also have experience with Python, Shiny web app development, which broadens my technical capabilities. My goal is to integrate advanced computational methods with biological research to address complex questions, whether through automated pipelines, interactive web applications, or detailed RMarkdown reports. Ultimately, I aim to drive innovation and create tools that facilitate scientific discovery.