Scientist · Independent consultant · Science-fiction author

Turning messy biology and data into decisions.

I build rigorous scientific software and decision-ready data workflows at the intersection of bioinformatics, machine learning, and life-sciences R&D.

Selected open source

Tools built for scientific work that has to hold up.

Small, focused packages with documented assumptions, deterministic tests, practical interfaces, and explicit scientific boundaries.

02 Python

Stabilomics

Robust, deterministic LAD-LASSO stability selection for high-dimensional genomics and scientific feature tables.

  • genomics
  • feature selection
  • robust statistics
03 Python

Antigenic Audit

Detects entity leakage, reversed-role leakage, and temporal overclaiming in influenza antigenicity evaluations.

  • influenza
  • ML evaluation
  • data leakage
04 Rust

RefAudit

Audits how reference-genome choice changes agreement, ranks, signs, status calls, and top-k bioinformatics results.

  • reference genomes
  • data quality
  • reproducibility
05 Python

SeqSketch

Deterministic MinHash/LSH sequence search with exact Jaccard reranking and time-directed similarity graphs.

  • MinHash
  • sequence search
  • data engineering
06 Python

BenchLog

A local experiment tracker with atomic manifests, metric comparison, artifact hashing, and Git provenance.

  • ML operations
  • provenance
  • reproducibility
View all public repositories

SignalForge Advisors

Decision-ready R&D workflows, built with the science intact.

I advise pharmaceutical, biotechnology, diagnostics, medtech, CRO, and life-sciences R&D teams on AI and data strategy, bioinformatics, omics, scientific diligence, and controlled implementation of RAG and agentic systems.

01Scan

Find the highest-value workflow and decision boundary.

02Pilot

Build a controlled implementation with traceable evidence.

03Run

Integrate the validated system into an operating cadence.

Contact SignalForge

Fiction

Difficult systems—imagined.

Technically grounded science fiction about institutions, belief, technology, and the human consequences of systems built to control uncertainty.

Near-future thriller

SOFTMAX

AI governance, identity, institutional power, and the systems people build to control one another.

Generation-ship novel

The Orchard

Inherited missions, partial truths, civilizational drift, and first contact.

First-contact satire

The Gospel According to Greg

A preacher, an alien civilization, and the catastrophic interpretation of a message sent into space.

About

Bench science, computation, and strategy.

I’m a PhD chemist and microbiologist whose work spans medicinal chemistry, antibiotic resistance, influenza virology, vaccine R&D, transcriptomics, machine learning, and scientific software.

Before founding SignalForge Advisors, I worked in biotechnology and vaccine development at Agile Sciences and CSL Seqirus. That background shapes how I build: scientific assumptions are documented, evaluation boundaries are explicit, and software tests are never presented as biological validation.

Code

Python, Rust, R, SQL, Bash

Science

Virology, genomics, microbiology, chemistry

Systems

Docker, SLURM, AWS, GCP, data pipelines

Methods

ML, robust statistics, temporal validation, RAG

2020

PhD, Chemistry
University of Notre Dame

2013

BS, Chemistry
University of North Carolina at Chapel Hill

View publications on Google Scholar

Contact

Have a hard scientific or data problem?

I’m available for select consulting engagements, technical collaborations, and conversations about my fiction.