21 years · 9 patent publications · 2023 Gold Edison Award
Bioscience teams turning research into products work with one independent practitioner who designs the experiment, builds the data pipeline, and presents the business case. Backed by a PhD in microbiology, granted US patents, and the 2023 Gold Edison Award-winning Galleon™ platform.
Consulting across the bioscience value chain, from R&D strategy and commercialization through AI-powered automation. Engagements are sized from a fixed-scope diligence sprint to multi-quarter retainers.
Independent assessment of a bioscience, biotech-AI, or federal R&D program before you commit the next six months of runway. You get a written report covering technical risk, commercialization path, and the specific next two milestones that determine whether the program ships. Best fit: PoC-stage biotech, AI/ML systems entering regulated or production workflows, and federal R&D efforts crossing into the build phase.
Scope a diligence engagement →Embedded engagement for biotech and pharma R&D groups that need an operator who can spend six to twelve weeks producing a defensible roadmap — agentic-AI strategy, bioprocess platform plan, or commercialization arc — under a board or CSO timeline. Weekly deliverable cadence; outputs ready for board or investor review.
Scope a retainer →Lead R&D initiatives from concept validation through implementation. Roadmap, IP strategy, business model, and the path from lab science to revenue. Pulls in landscape and patent intelligence when the program needs it.
Production ML and agentic workflows for bioscience and data-intensive work. End-to-end bioinformatics, predictive modeling, and pipeline architecture, from experimental design through production analytics.
Metabolic engineering, fermentation technology, and bioprocess development. Concept through commercial scale, with the kind of process discipline that survives the jump from lab to plant.
Technical content, messaging, and stakeholder alignment for scientific audiences. Plain-language translation of complex research for executive, investor, and public channels.
Review a failed or in-progress SBIR / STTR / BAA draft, map fit to two or three agencies or topics, rewrite the Heilmeier-style technical thesis, produce a two-page funder brief, and deliver a go / no-go resubmission plan. For deep-tech founders and small businesses leaving non-dilutive money on the table.
Ready to put this track record to work on your project?
Book a 30-minute call →Domain expertise, hands-on AI engineering, and a real business-strategy track record, in one engagement. The difference between a consultant who presents slides and one who ships solutions.
Most technical consultants specialize in one lane. I work across metabolic engineering, data analytics, business strategy, agentic AI, and process optimization, because real problems rarely fit inside one discipline.
I led the platforms behind these numbers. Per-sample analysis cost cut from $180 to $25 at production scale. A diagnostics platform reaching more than 80 percent of the global poultry market. Seven technologies from idea to proof-of-concept in twenty months. Named inventor on granted US patents underlying a 2023 Gold Edison Award-winning platform.
Technical credibility from a microbiology PhD and three Fortune-scale commercial deployments. Communication credibility from years of translating technical work for executive, investor, and public audiences. The same person can go deep with the technical team, then reframe the work for leadership, partners, or funders without losing the science.
Founder & Principal Consultant
I'm an inventor, consultant, science communicator, and AI/ML engineer with twenty-one years of delivering scientific outcomes at commercial scale. McIntosh Consulting is my independent practice. The premise is straightforward: hire someone who has actually shipped things, not someone who has only written about them.
The work that built this track record includes a microbiome analytics platform that cut per-sample cost from $180 to $25 and was commercialized as Galleon™ Broiler Microbiome Intelligence, a 2023 Gold Edison Award winner. An animal-health diagnostics platform reaching more than eighty percent of the global poultry market. Three patents authored and seven technologies moved to proof-of-concept in twenty months as part of an IP strategy for a major animal-nutrition business.
The foundation is a PhD in Microbiology from the University of Tennessee, Knoxville, with a dissertation on microbial stress-response transcriptomics. The practice today applies that discipline across metabolic engineering, data analytics, business development, agentic AI workflows, and process optimization. The clients are biotech operators and R&D organizations that need someone who can move between the lab, the model, and the market.
McIntosh Consulting is an independent advisory practice. I hold an outside-employment authorization from my employer, Signature Science, LLC; all McIntosh Consulting engagements are contracted directly with this practice. Standard vendor-onboarding artifacts (W-9, certificate of insurance) are available on request.
Named inventor on granted US patents in metabolic engineering and yeast biosystems. Doctoral research on the transcriptional response of microbial systems to chemical stressors. Everything below is on file and verifiable.
Granted Patents
Research & Recognition
Perspectives on biotech innovation, AI architecture, and R&D strategy.
AI and ML have shifted bioprocess development from trial-and-error to data-driven optimization. The payoff is pattern recognition across thousands of fermentation runs that no human team has time to do by hand.
Apr 2026 · 8 min BiotechBiotech companies that adopt software engineering practices (version control for strains, CI/CD for constructs, automated phenotype testing) will outcompete those that don't.
Mar 2026 · 9 min Data ScienceAs synthetic genomic data becomes critical for ML training and privacy-preserving research, the field needs rigorous validation frameworks measuring fidelity, utility, and privacy.
Feb 2026 · 10 minHuman progress is driven by the expansion of capability, not by deepening awareness of intent. Capability expansion precedes need articulation.
The R&D-First Bullseye Model reverses conventional innovation sequencing: start with what's technically possible, then discover applications.
Old proposals sitting in CRM systems are reusable intellectual capital. Matching them against current opportunities cuts proposal development time dramatically.
Enterprise and scientific software has a long tail of capability most teams never reach because it is locked behind syntax. AI coding assistants change where in the workflow that translation happens.
A git repository is the natural and complete system boundary for AI-driven document workflows. Everything the agent needs already lives in or can be referenced from a repo.
When decomposing tasks for AI agents, there's a granularity floor: a point below which further decomposition creates more overhead than value.
The meta-knowledge framework distinguishes knowing, not-knowing, and knowing-that-you-know. Understanding the difference is what lets AI systems scale beyond their context window.
Knowledge map traversal (navigating structured graphs on-demand instead of loading entire databases) is the better pattern, regardless of how big the context window gets.
Whether you're developing a new bioproduct, validating a technical approach before committing to your next program cycle, or wiring AI into your team's workflows, the work goes faster with someone who has done it before. Book a call or send an email. I read every message myself.