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laura-budurlean/README.md

📝 Quick Bio

I'm a content marketing specialist and bioinformatics scientist with a passion for marketing, real-world data, NGS, and data-driven story telling. I obtained a PhD in Biomedical Science alongside freelance marketing and social media experience and I love working with large datasets and using my skills to turn data into good stories, content, and interesting insights.

⚡ Current Projects

  • Drug_Discovery_Pipeline Developing a machine learning pipeline for predicting drug efficacy in Philadelphia-positive leukemia
  • AI_Powered_Bioinformatics Taking a wonderful course from Penn State looking at AI's role in bioinformatics

🌱 Skills

  • Programming Languages: R, Bash, Python, SQL
  • Tools and Software: HPC, Git, Visual Studio Code, Jupyter Notebooks
  • Data Visualization: Matplotlib, Plotly, ggplot2, dplyr, maftools, GraphPad Prism, IGV
  • Bioinformatics Toolbelt: GATK, BWA/STAR/SpeedSeq, DESeq2, Bioconductor, Machine learning, Pandas, NGS: WGS, WES, RNA-Seq, Optical Genome Mapping

📫 How to Reach Me

  • Email_me
  • LinkedIn

💬 Fun Fact

I've done content marketing for some pretty interesting and diverse industries ranging from motorsports like Harley-Davidson and Yamaha, to media companies like Insta360, to public health agencies like ASTHO and real-world data companies like HealthVerity.

Top Languages

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  1. Drug-Discovery-with-Python-and-Machine-Learning Drug-Discovery-with-Python-and-Machine-Learning Public

    Explore data collection, analysis, and machine learning for drug discovery. Create predictive models, perform EDA, and deploy as web apps.

    1 1

  2. Structural_Variant_Discovery Structural_Variant_Discovery Public

    A combination of optical genome mapping with Bionano and whole genome sequencing short-read data. This pipeline was created to help integrate structural variant calling from these two technologies.

    Shell 1

  3. PCA-Ethnicity-Determination-from-WGS-Data PCA-Ethnicity-Determination-from-WGS-Data Public

    A pipeline utilizing PCA on 1000 genomes and WGS data from your own samples to determine or validate ancestry of an individual.

    Shell 4

  4. GATK-WGS-Pipeline GATK-WGS-Pipeline Public

    GATK WGS workflow

    Shell 1

  5. Differentially-mutated-genes Differentially-mutated-genes Public

    Fisher's tests (with or without) correction for multiple testing on 2x2 contingency tables. Uses a list of genes from two populations to test if any are significantly mutated/disrupted by SVs in on…

    R

  6. SV-calling-with-SpeedSeq SV-calling-with-SpeedSeq Public

    A workflow for using SpeedSeq to align and call SVs from WGS data

    Shell 1