Victoria Dyster, PhD

I am a computational biologist with a PhD in metagenomics and antimicrobial resistance, with experience building production ML systems and data infrastructure for biotech and genomics. I have worked at the forefront of pathogen genomic and microbiome research at institutions including the Wellcome Sanger Institute and The Alan Turing Institute, before joining a Khosla Ventures-backed epigenetics startup. My current interest focuses on applying transformer-based deep learning to metagenomic sequence data for mobile antimicrobial resistance detection.

Recent Projects

From CSVs to Iceberg: Scaling a Genomics ETL Pipeline for ML Training on a budget

14 December 2025·7 mins

Data-Engineering Apache-Iceberg Aws-Athena Parquet Genomics

How replacing a CSV-join pipeline with Apache Iceberg and a long-format data model cut an ETL pipeline from ~15 minutes to a minute

Building a Private MLOps Platform on AWS

1 September 2025·3 mins

Machine-Learning Mlops Aws Terraform Mlflow

How I deployed MLflow as a authenticated experiment tracking server on AWS and integrated it into a reusable ML toolkit.

CI/CD for a Genomic Data Pipeline: Testing, Security, and Multi-Environment Deployment

23 June 2025·6 mins

Ci-Cd Github-Actions Nextflow Aws Docker Devops

How I built a CI/CD system for a Nextflow methylation sequencing pipeline: from pre-commit linting through four layers of testing to automated promotion across development, staging, and production, all backed by reusable GitHub Actions and container image promotion via ECR.