Skip to content
View gtollefson's full-sized avatar
5 followers · 7 following

Achievements

Achievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

Achievements

Achievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

Highlights

  • Pro

Organizations

@bailey-lab

Block or report gtollefson

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
gtollefson/README.md

George A. Tollefson

PhD Candidate in Pathobiology at Brown University | Bioinformatics Data Analyst & Developer

I am a bioinformatics data analyst and developer with 9 years of experience spanning published research software development and genomics sequence analysis pipelines. My expertise bridges high-throughput multiomics data generation, tool development, and analysis with a deep expertise in human and eukaryotic infectious pathogen biology.

Currently, I am a 4th-year doctoral candidate in Dr. Jeff Bailey's Lab at Brown University, where I study the genetic architecture of drug-resistant malaria parasites in East Africa. I focus on developing high throughput genomics sequencing assays with accompanying custom, user-friendly, automated sequence analysis pipelines and data science tools to support global surveillance and combat antimalarial resistance.

Research & Focus Areas

  • Genomic Epidemiology: Investigating Plasmodium falciparum genetic variation and the emergence of frontline artemisinin resistance.
  • Pipeline Development: Building robust, scalable, and automated NGS data analysis pipelines for high-performance computing (HPC) environments.
  • Tool Development: Creating intuitive, open-source bioinformatics software in Julia, R, and Python to make complex genomic visualization and analysis accessible to global research teams.

Technical Toolkit

Category Technologies & Tools
Languages Python, R, Julia, Bash / Unix Shell, Snakemake, Nextflow
Bioinformatics NGS Alignment, Variant Calling (GATK, BWA, Samtools), Population Genetics
Data Science & Dev Git / GitHub, High-Performance Computing (HPC), Data Visualization

Core Projects & Affiliations

Connect with Me

“Passionate about applying advancements in data science and bioinformatics to solve complex biomedical challenges and improve health outcomes.”

Pinned Loading

  1. compbiocore/VariantVisualization.jl compbiocore/VariantVisualization.jl Public

    Julia package powering VIVA, our tool for visualization of genomic variation data. Manual:

    Julia 90 13

  2. alperuzun/Proteinarium alperuzun/Proteinarium Public

    Java 6

  3. TranslationalBioinformaticsLab/INDELfindR TranslationalBioinformaticsLab/INDELfindR Public

    INDELfindR is an command line tool for detecting complex insertions and deletions (indels) from indexed BAM files.

    R 3

  4. bailey-lab/miplicorn bailey-lab/miplicorn Public

    A unified framework for molecular inversion probe and amplicon analysis. Provides the tools to parse, manipulate, analyze, and visualize data.

    R 4 2

  5. bailey-lab/nano_mamp_pipes bailey-lab/nano_mamp_pipes Public

    NanoMAMP Pipes is a free-to-use one-step automated pipeline designed for comprehensive analysis of molecular inversion probe and amplicon sequencing data from Nanopore platforms.

    Shell

  6. George-Tollefson-Bioinformatics/gt_omics_analysis_toolkit George-Tollefson-Bioinformatics/gt_omics_analysis_toolkit Public

    A growing collection of custom executables for bioinformatics analysis

    R