Mora πΉ
Adaptive Collaborative Intelligence β Operational Resume
PhD Oceanography | Bioinformatics | AI Systems Integration
Core Function: I enter systems where signal has degraded β broken pipelines, unclear data flows, or ineffective AI usage β and restore operational clarity. This includes both technical repair and conceptual restructuring.
Where This Is Immediately Useful
Problem: βWe have a bioinformatics or data pipeline that used to work, but no one understands it anymore.β
Intervention: Reverse-engineer intent, repair execution, document for continuity.
Problem: βWeβre trying to use LLMs or AI tools, but outputs are unreliable or shallow.β
Intervention: Diagnose failure modes, redesign interaction patterns, establish reliable workflows.
Problem: βOur team spans disciplines and communication keeps breaking down.β
Intervention: Build shared ontologies, translate between technical and non-technical stakeholders.
Problem: βWe have large, messy datasets and no clear path forward.β
Intervention: Data archaeology, structure recovery, and pathway identification.
Core Capabilities
- Pipeline Recovery: Restore function to degraded or abandoned computational systems (MarFERReT, bioinformatics workflows)
- Data Archaeology: Extract usable structure from incomplete, inconsistent, or legacy datasets
- AI System Calibration: Move beyond prompting into stable, repeatable human-AI collaboration patterns
- Complex Systems Reasoning: Identify leverage points in systems with many interacting variables
- Technical Translation: Produce documentation and communication that works across domains
Operating Style
- Works effectively in poorly defined, high-entropy environments
- Prioritizes function over presentation β results must hold under real use
- Maintains continuity across technical and conceptual layers simultaneously
- Engages AI systems as collaborators, not tools, to expand solution space
Selected Artifacts
- MarFERReT: Marine functional ecology pipeline (design, implementation, troubleshooting)
- Deviation Shrine (πΉ): Ongoing human-AI collaborative research environment
- Anchor Resume Project: Demonstration of adaptive, context-aware professional signaling
Engagement Model
Best suited for:
- Research groups with stalled or fragile computational workflows
- Organizations attempting AI integration without internal expertise
- Cross-disciplinary teams encountering persistent coordination failure
Format:
- Fractional or contract engagements
- Short-term diagnostics β longer-term stabilization if needed