Michael J. Shreve, PhD, E.I.T.

Founder + Steward, HyphaMindTM Labs

---

In Brief

I came to this work through environmental engineering, fieldwork, and evidence-heavy research, from wastewater surveillance and IFAS ecology to anaerobic digestion, multi-omics, and fungal biotransformation. HyphaMindTM grew out of seeing how often important scientific work depends on memory, informal handoff, and undocumented judgment. I build systems that preserve permission, provenance, uncertainty, and repair paths so workflows can grow without losing accountability.

---

What I Bring

• Environmental engineering grounding across wastewater intelligence, microbial ecology, bioprocess systems, and contaminant fate.
• Research-workflow design that turns ambiguous goals into bounded workflows, review surfaces, and operational handoff.
• Proof-coupled AI and workflow practice: local-first orchestration, validation rails, replayable artifacts, and recoverable execution.
• Governance by design: consent, provenance, refusal, and reviewable exports built into the workflow instead of layered on afterward.

---

Why I Built HyphaMindTM

Research teams often lose critical workflow memory when trainees leave or projects change hands. Reproducibility problems are often continuity problems before they become statistical or computational ones. HyphaMindTM is my attempt to address that directly, starting with a bounded amplicon pilot now supported by paired 16S and ITS2 proof and a review-ready packet that keeps claims tied to evidence while opening toward a broader continuity infrastructure for scientific work.

---

Domain Grounding

The initial fit is strongest where data is messy, workflows are person-dependent, and the cost of weak continuity is high:

• Amplicon workflows for environmental microbiome teams.
• Wastewater surveillance and environmental microbiome work under real operational pressure.
• Multi-factor anaerobic digestion and multi-omics programs where interpretation must survive long horizons and many handoffs.
• Handoffs between lab, analyst, and reviewer where workflow memory degrades quickly.
• Evidence-heavy research lanes where reproducibility pressure and turnover collide.

---

How I Work

I care about making consequential workflows more reviewable under strain. In practice, that means preserving enough evidence to explain what happened, enough structure to validate it, and enough continuity for someone else to re-enter the work without guessing. My approach blends field and lab experience with systems design, so governance and accountability are built into the workflow rather than added afterward.

ORCID carries my publication record, and the full Curriculum Vitae captures the longer scientific and technical arc.

Connect

If you are looking at continuity loss, reproducibility pressure, or fragile handoff in a research workflow, I am happy to talk.

• Pilot or audit discussions.
• Collaboration around consequential research workflows where continuity, provenance, and reviewable handoff matter.
• Contract or advisory work at the intersection of research software, evidence, and accountable automation.

Best way to reach me is shrevemj@hyphamind.ai.