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About Me

About Devon Allies: bioinformatician and computational biologist with 15+ years in biomedical science, including 10 in TB immunology, now a Data Analyst at Stellenbosch University. Education, certifications and skills.

I’m a bioinformatician and computational biologist with over 15 years of experience in biomedical science, including 10 years in immunology and tuberculosis research. I specialise in clinical genomics and building the data pipelines that turn raw biological data into publication-ready results.

In my current role as a Data Analyst at the Division of Molecular Biology and Human Genetics, Stellenbosch University, I work with whole genome sequencing data and clinical metadata on HPC clusters and Databricks. I’m also completing an MSc in Computational Biology at Stellenbosch University, focusing on cytokine phenotyping and pQTL mapping in tuberculosis cohorts.

I started my career at the bench, processing clinical samples and running flow cytometry for TB immunology trials, and later coordinated multi-site clinical research studies. That means I understand the data because I was there when it was created.

Key Highlights: - Contributed to peer-reviewed TB diagnostics and vaccine immunogenicity research cited 100+ times. - Built Nextflow pipelines for WGS and RNA-seq, and medallion-architecture pipelines on Databricks with MLflow. - Developed an automated data-logging dashboard for clinical trial field operations. - 7+ years in ISO-accredited laboratories with flow cytometry, PBMC processing, and assay validation.

I’m passionate about integrating bioinformatics and computational biology to drive scientific innovation and improve healthcare outcomes. Let’s connect!

My journey

From the diagnostic lab to data pipelines, most recent first: each step built on the one below it. The project pages show how my work has grown, and the older ones include a short “Looking back” note on what I’d do differently today.

November 2026

Teaching

A tutorial series in R and Python, built on one simulated TB dataset

October 2026

Production-style pipelines and machine learning

Databricks lakehouse pipelines with MLflow: the credit risk pipeline and the BAL study pipeline

July 2026

Data Analyst

Data Analyst at Stellenbosch University, alongside my MSc in Computational Biology

May 2026

Transcriptomics

Chromosome X RNA-seq: a Nextflow pipeline feeding differential expression in Bioconductor

February 2026

First portfolio analyses

Exploratory analysis in Python and R: COVID-19 blood counts, global TB trends and R and Python together

2024

Into bioinformatics

BSc Honours: a whole-genome variant-calling pipeline in Nextflow and GATK on an HPC cluster

2023 – 2025

Clinical research coordination

Project Coordinator for multiple concurrent clinical research studies

2016 – 2023

TB immunology research

Technical Laboratory Officer at Stellenbosch University: clinical sample processing and flow cytometry for TB and vaccine studies

2010 – 2015

Diagnostic and quality laboratories

Medical technologist training at the NHLS (Tygerberg Hospital), immunoassay development at Synexa Life Sciences, and quality control at Biovac

Education

2025 – 2027 (expected)

MSc Computational Biology

Stellenbosch University

Research focus: cytokine phenotyping and pQTL mapping in tuberculosis cohorts

2024

BSc Honours, Bioinformatics & Computational Biology

Stellenbosch University

2012

Immunology Board Exam

Health Professions Council of South Africa (HPCSA)

Professional licensing exam for medical technologists, passed with 81% (A+)

2006 – 2010

Higher National Diploma, Biomedical Technology

Cape Peninsula University of Technology

Certifications

  • Databricks (2026): Fundamentals Accreditation; AI/BI for Data Analysts; SQL Analytics on Databricks
  • 365 Data Science (2026): Data Scientist and Data Analyst career tracks
  • Coursera (2024): Google Project Management Specialization; Data Analyst with R
  • FutureLearn (2024): Bioinformatics for Biologists, including Analysing and Interpreting Genomics Datasets

Skills

Bioinformatics & Genomics

NGS pipelines · Variant calling · RNA-seq · pQTL mapping

Nextflow DSL2, BWA-MEM2, GATK, bcftools, samtools, HISAT2, StringTie, Ballgown; host genetics and multi-omics

See it in: WGS variant-calling pipeline · chrX RNA-seq

Statistics & Machine Learning

Regression · PCA · Random forest · SHAP

Association testing, Wilcoxon and FDR correction, cross-validation, ROC/AUC; scikit-learn

See it in: Credit risk pipeline · BAL Databricks pipeline

Data Engineering & Data Quality

Databricks · PySpark · Delta Lake · MLflow

Bronze/silver/gold pipelines, SQL, validation checks, unit-tested cleaning functions, PII removal

See it in: Credit risk pipeline · BAL Databricks pipeline

Programming & Reproducibility

Python · R · SQL · Bash

pandas, NumPy, tidyverse; Git, Docker / Singularity, mamba; Linux and HPC (PBS)

See it in: Tutorials · this site’s source

Visualisation & Reporting

ggplot2 · Power BI · Tableau · Quarto

matplotlib, seaborn, Databricks AI/BI dashboards, RMarkdown, LaTeX, Excel

See it in: Global TB trends · COVID-19 blood counts

Lab, Clinical & Project Management

Flow cytometry · PBMC processing · ISO-accredited QA

FACSCantoII, FlowJo, assay validation, clinical trial coordination, budgets and stakeholder management

See it in: Publications