I help healthcare and life-sciences teams take AI and genomic modeling from research to reliable, deployed systems — with an emphasis on correctness, auditability, and deployment in regulated environments.
A decade-plus of hands-on engagements across the industry — delivered as one senior consultant, from research through production.
A single expert across the full arc of a project — from modeling strategy to systems that run in production.
Auditable, human-in-the-loop AI systems that pair deterministic computation with LLM judgment — and deploy on-prem or fully offline in regulated clinical and enterprise settings.
Genomic and variant interpretation, genotype-to-phenotype and drug-resistance prediction, and protein language models for sequence-based property and specificity prediction.
Rigorous modeling with the small, imbalanced, and expensive-to-label data that real biomedical work produces — and honest assessment of what the data can and can't support.
Production software and data engineering, cloud platforms, APIs, and agent orchestration — the pipelines and plumbing that make AI and data systems dependable enough to ship.
A few principles that hold across every engagement, especially the high-stakes ones.
The arithmetic and rules are computed, not guessed. AI is reserved for judgment, so results stay correct and reproducible.
Every recommendation traces back to its evidence. The reasoning path is the explanation — no black boxes in high-stakes decisions.
Systems designed to run on-prem or fully offline, inside the security and compliance constraints of regulated environments.
A single PhD-led point of contact who takes the work from research through a live, tested, deployed system.
A focused engagement to scope data readiness, model feasibility, and the right architecture before committing to a build.
End-to-end design and delivery of ML systems, data pipelines, and cloud infrastructure — from proof of concept to deployment.
Ongoing technical guidance on ML strategy and system design, plus scientific and grant writing behind funded research.
TRM Systems is a technical consulting practice built around a decade and a half of work moving complex machine-learning and data systems from research into production across academia, biotech, and pharma.
That work centers on building AI and genomic-modeling systems that are correct, maintainable, and trustworthy enough to deploy in regulated environments.
Recent work spans auditable agentic AI for clinical decision support, genotype-to-phenotype and drug-resistance modeling, protein language models, production data engineering for large healthcare organizations, and the scientific and grant writing behind funded research.
Tell me what you're working on. I'll tell you honestly whether and how I can help.
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