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Research ML Engineering

DNA Methylation Age Clock Modeling

An engineering-focused extension of an existing lab workflow into a more configurable and reproducible system for methylation-based age prediction and experimentation.

Project Lead November 2024 - Present Modeling + workflow engineering

What it does

This project takes a narrower, more fixed research workflow and expands it into a reusable experimentation system for methylation-based age modeling. The emphasis is on making runs easier to configure, compare, audit, and reproduce.

Instead of a single hardcoded path, the tool is built to support repeatable experiments, cleaner outputs, and better separation between configuration, execution, and reporting.

Core stack

  • Elastic-net modeling workflows
  • CLI-driven execution
  • Cross-validation and repeat-aware experiments
  • External validation and structured reporting
  • Metadata capture and run logging

What I built

  • Multiple cross-validation modes for more flexible experimentation
  • Improved metadata and logging for auditability
  • Structured output handling and reporting improvements
  • Better control over preprocessing, sample alignment, and run setup

Availability

This page summarizes the engineering work at a high level. The project is included here because it is a strong example of how I approach reproducible modeling work in research settings, even though the code itself is not publicly hosted.