Timothy Johnstone is a data scientist and cloud-native computational biologist with 11 years of experience building scalable infrastructure and analytical pipelines to advance RNA/DNA therapeutics and genomics. He has architected multi-account AWS environments, automated NGS data syncs, and deployed CI/CD, MLOps, and internal LLM+RAG systems while enabling teams to run massive parallel HPC/GPU workloads and reproducible analyses. Hands-on in Python, R, Docker, and Unix, he pairs thoughtful systems design and documentation with practical AI/ML experiments and bespoke bioinformatics tools (including a Python package for fuzzy matching of error-prone sequences). His work spans assay development, long-read and short-read sequencing analytics, and contributions to FDA filings and cell therapy programs—yet he still enjoys tinkering on open-source DevOps projects like Pi-hole’s PADD to improve user-facing tooling. Based in Seattle, he mentors technical teams and thrives at the intersection of molecular biology and data-driven engineering to translate complex data into actionable decisions and cures.
11 years of coding experience
17 years of employment as a software developer
Bachelor of Science (BSc) with honors Computational Biology, Bachelor of Science (BSc) with honors Computational Biology at Brown University
High School Cleveland High School Full IB Diploma, High School Cleveland High School Full IB Diploma at International Baccalaureate
Doctor of Philosophy (Ph.D.) Genetics, Doctor of Philosophy (Ph.D.) Genetics at Yale University
PADD (formerly Chronometer2) is a more expansive version of the original chronometer.sh that is included with Pi-Hole. PADD provides in-depth information about your Pi-hole.
Role in this project:
DevOps Engineer
Contributions:23 commits, 8 PRs, 25 comments in 1 year 9 months
Contributions summary:Timothy focused on enhancing the visual presentation of the `padd` application by implementing terminal control features. Their work involved using `tput` to clear lines and the end of the screen, which improved display performance, addressed screen resizing issues, and reduced visual artifacts. These changes were implemented across different screen sizes and display layouts to optimize the user experience.
Contributions:2 reviews, 10 pushes, 1 branch in 2 years 4 months
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