Bioinformatics Engineer · Computational Systems Builder
Washington University School of Medicine — Spencer Lab
Reproducible pipelines for multi-omic research · self-hosted AI · production web tooling.
Benchmarking suite for DNA methylation detection methods. CNN/PyTorch framework for methylation classification from bisulfite sequencing data, benchmarked against traditional statistical approaches.
Cloud-native tumor-normal sequencing pipeline for the NIH Common Fund's Somatic Cell Genome Editing program. Built with Nextflow DSL2 and DRAGEN hardware acceleration on AWS.
Machine learning-based pose estimation system for tracking zebrafish behavior in custom experimental rigs, enabling high-throughput behavioral analysis.
Transformer-based language models applied to biological sequence classification, exploring gene function prediction and regulatory element annotation.
A vertically integrated bioinformatics agency serving the St. Louis biotech ecosystem. Infrastructure, analysis, and talent — from a scientist who speaks the language.
A translational chemistry laboratory exploring new synthetic methodology in organic chemistry.
Self-hosted Llama 3.2 model providing interactive context on my work and history.
andrew > What do you want to know about Andrew?
Live computation on a self-hosted FastAPI backend. Paste any sequence — GC content, reverse complement, k-mer frequencies, restriction sites.
If you want to connect, the calendar link is the fastest way.
Newsletter
Occasional updates on research, tooling, and things I find worth sharing.