DirkTorre

Software Engineer

Tectum Services Corp•  January 2023 - February 2023

Learning on the job | Development of a Google Sheets plug-in for cleaning and summarizing data related to internet network technician appointments. Learned on the job: Javascript • Google Apps Script • Google Sheets

Bioinformatics intern

Immunetune•  February 2019 - February 2020

Software development | Learning on the job | Optimalisation of a DNA-vaccine. Learned on the job: DNA-vaccine development • Immunology • oncology • epitope prediction using openvax / mhctools / netmhc / mhcflurry Self-study: Web development with Python and Django • pathfinding algorithms Gained experience: Immunology • Python • Pandas • HTML • CSS • data visualization • databases.

Bioinformatics Intern

Naturalis Biodiversity Center•  September 2016 - January 2017

Group project | DNA Sequencing | Extended an existing bioinformatics pipeline. Detection of allergens such as pollen and animal hair. Learned on the job: web-dev for Galaxy • DNA-barcoding • nomenclature • allergen and invasive species. Gained experience: Linux scripting • Python • web scraping • data wrangling • bio-informatics.

Free University Amsterdam

Bioinformatics, BE•  September 2020 - August 2021

NO DEGREE! Advanced courses in bioinformatics, data analysis and machine learning theory.Advanced courses in bioinformatics, data analysis and machine learning theory. Skills: Autodidact · Bioinformatics · Pandas (Software) · Python (Programming Language) · R (Programming Language) · Data Wrangling · Data Pipelines · Next-Generation Sequencing (NGS) · Linux · Jupyter · Statistical Data Analysis · Analytical Skills · Matplotlib · Creativity Skills

Leiden University of Applied Sciences

Bioinformatics, BS•  September 2014 - February 2020

Bioinformatics, as related to genetics and genomics, is a scientific subdiscipline that involves using computer technology to collect, store, analyze and disseminate biological data and information, such as DNA and amino acid sequences or annotations about those sequences. Scientists and clinicians use databases that organize and index such biological information to increase our understanding of health and disease and, in certain cases, as part of medical care. Topics covered include: Next-generation sequencing (NGS) bioinformatics analysis (genomics) - RNA sequencing analysis (transcriptomics) - Protein analysis (proteomics) - Data analysis - statistics and visualisation - databases. Optional courses: Virology and immunology • Django web development • Advanced Unix programming. Extracurricular: Member of two year study feedback program. Graduation internship at Immunetune B.V. Short optional internship at Naturalis Biodiversity Center.