Dr. Davinson Pezo · Analytical Research

Scientific consulting for decisions that matter

Expert in

I transform complex data into actionable results. High-level analytical chemistry and AI applied to scientific research.

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Scientific publications
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Literature citations
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h-index
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Years post-PhD
Marie Curie Fellow
EU Excellence

Services to turn complex science into clear decisions

Supporting laboratories, research groups, packaging and R&D teams that need analytical rigor, reproducible pipelines, and applied AI tools.

01

Advanced Analytical Chemistry

GC-MS, UPLC-Q-TOF-MS, HPLC-FLD, Raman and FTIR. Method validation, food contact materials, migration analysis (NIAS, PAA, MOAH/MOSH), pharmaceutical QC and emerging contaminant analysis.

02

AI Applied to Science

RAG systems for scientific literature, MCP servers for tool integration, autonomous agents, browser automation for bureaucratic portals, and local LLM deployment with total privacy.

03

Scientific Data Analysis

Advanced chemometrics (PCA, clustering, baseline correction, peak detection), spectral analysis, applied machine learning/deep learning, and experimental design. Reproducibility with Jupyter and Git.

04

EU Grants & Training

Support in writing and strategy for Horizon Europe proposals. Master classes and training for research teams on AI tools: autonomous agents, RAG systems, MCP environments.

Scientific Specialty

  • Active food packaging and food contact materials
  • Specific migration, NIAS, PAA, MOSH/MOAH and emerging contaminants
  • GC-MS, UPLC-Q-TOF-MS, HPLC-FLD, Raman, FTIR and microextraction

Digital Specialty

  • Python, pandas, scikit-learn, PyTorch, Jupyter and scientific visualization
  • RAG systems, hybrid search, vector databases and graph analysis
  • MCP servers, autonomous agents, browser automation and local LLMs

Two decades in analytical chemistry, now also in AI for science

PhD in Analytical Sciences (Cum Laude) from the University of Zaragoza, Marie Curie Fellow in 2012, and researcher based in Jülich, Germany. I help scientific teams solve problems where advanced instrumentation, complex data and automation intersect.

Since 2025 I also operate at the frontier of AI applied to scientific research: developing RAG systems, MCP servers, autonomous agents and scientific workflow automation. I combine the rigor of 17+ years in instrumental analysis with modern tools that accelerate the discovery → publication cycle.

22+ Publications
1125+ Citations
15 h-index

International collaborations in

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Tools and technologies I use

From instrumental analysis to artificial intelligence applied to scientific research.

Machine Learning & Deep Learning

scikit-learn PyTorch TensorFlow XGBoost Predictive models Segmentation Classification

Computer Vision & Image Analysis

OpenCV Pillow Raman spectroscopy FTIR Microscopy Signal processing Peak detection

NLP & RAG Systems

LangChain Vector DBs Embeddings Semantic search MCP Servers Autonomous agents Graph analysis

Chemometrics & Spectral Analysis

PCA Clustering Baseline correction Peak detection GC-MS UPLC-Q-TOF-MS HPLC-FLD

Python & Data Engineering

Python pandas numpy scipy Jupyter FastAPI Git

Databases & Vector Stores

SQLite PostgreSQL JSON Chroma FAISS Qdrant Vector DBs

What I'm building now

RAG · Vector DBs

EcoLab RAG

Scalable RAG system for scientific literature. Capacity for thousands of indexed documents with hybrid search, concept bridging across disciplines and graph analysis to detect bridge papers and innovation gaps.

Agents · Automation

Hermes Agent

Autonomous AI assistant for researchers. 5-session master class covering installation, configuration, MCP automation, CDP browser automation and orchestrator pattern for multi-agent workflows.

MCP · Tooling

MCP Servers

MCP servers for bibliographic management (PubMed, ArXiv, Crossref, Scholar, Zotero), Project manager with Notion, graphic design with Blender, Hugging Face and scientific RAG. JSON-RPC 2.0 protocol with stdio and HTTP/SSE transports.

From scientific question to technical decision

01

Diagnosis

We define the question, data, regulatory constraints, deliverables and success criteria.

02

Analysis

I build the pipeline, validate assumptions, document decisions and separate signal from noise.

03

Delivery

You receive a technical report, reproducible code, scientific interpretation and next steps.

Do you have a project in mind?

Scientific analysis, AI consulting, or a collaboration on Horizon Europe grants. Tell me about it and let's see if we fit.

Do you have a project in mind?

Scientific analysis, AI consulting, or a collaboration on Horizon Europe grants. Tell me about it and let's see if we fit.

Write to [email protected]

What to include in your message?

  • Scientific objective or decision you need to make
  • Type of data, instrumental technique or documentation available
  • Deadline, expected delivery format and confidentiality constraints
  • If applicable: call, paper, dataset or workflow you want to improve