DataQuorum · Scientific Research & AI

Scientific consulting for decisions that matter

Expert in

We turn complex data into actionable results: analytical chemistry, materials, food packaging, image analysis and AI applied to scientific research.

Talk to DataQuorum (30 min, free) Download the free checklist
0
Published articles
0
Verified citations
0
Years of experience
Marie Curie Grant
EU Projects
Scientific Consulting

Three ways to work with DataQuorum

From a focused technical mentoring session to a reproducible pilot or a long-term research collaboration. The final scope is always closed after a free 30-minute diagnostic call.

01
Express Mentoring

We help you unblock a technical problem in 1-2 sessions

For PhD students, postdocs or teams with a specific problem: reviewing a report, building a figure, validating a pipeline or deciding where to start with AI.

500-800 €
  • 60-minute diagnostic session
  • 1-2 practical 90-minute sessions
  • Written steps, code or basic documentation
  • Delivery in 1-2 weeks
02
Pilot Project

We implement a reproducible workflow end to end

For groups with a defined project: RAG over their literature, analytical pipelines, AI-assisted literature review or automation of a scientific workflow.

EU: 4,000-8,000 € Latam: 2,500-5,000 €
  • Discovery, technical design and implementation
  • Reproducible documentation with Jupyter and Git
  • Team handover session
  • 30 days of post-delivery support
03
Research Collaboration

Expert research support for a paper, proposal or research line

For PIs and groups that need scientific judgment, methodological design and technical implementation in AI, data, scientific software or analytical chemistry.

By agreement
  • Methodological and experimental design
  • Implementation of the AI, analytical or scientific software component
  • Co-authorship or acknowledgement according to contribution
  • 3-12 month format by milestones

The ranges help filter expectations. Final pricing depends on available data, complexity, timeline, deliverables and confidentiality constraints.

Request diagnosis

Scientific Specialty

  • Active, sustainable and recycled food packaging; polymers and functional materials
  • Specific migration, NIAS, PAA, MOSH/MOAH, food safety and chemical risk
  • GC-MS, UHPLC-Q-TOF/IMS, HPLC, Raman, FTIR, metabolomics and image analysis

Digital Specialty

  • Python, machine learning, deep learning, computer vision and scientific image analysis
  • RAG systems, hybrid search, vector databases and graph analysis
  • MCP servers, autonomous agents, browser automation and local LLMs
Profile

Combined research experience in analytical chemistry, materials and AI for science

DataQuorum brings together two decades of applied research experience: instrumental analysis, safety of food contact materials, active and sustainable packaging, metabolomics, image analysis and evaluation of complex experimental data.

This foundation is complemented with Python, RAG systems, machine learning and deep learning models, MCP servers, autonomous agents, web apps and scientific workflow automation. The result is consulting that connects scientific method, software and experimental traceability.

80+ Published articles
3000+ Verified citations
20+ Years of experience

International collaborations in

🇪🇸 🇩🇪 🇧🇷 🇮🇹 🇵🇱 🇨🇴 🇵🇦 🇪🇪 🇨🇳 🇮🇷 🇩🇿 🇨🇱 🇺🇸 🇦🇺
Recent track record

Scientific collaborations with verifiable deliverables

We work with groups that already produce data, but need to turn it into reports, figures, pipelines and decisions that can withstand technical review.

2024-2026 collaborations

Research groups, doctoral researchers and scientific teams

We have supported collaborations with universities, research centers and scientific teams, ranging from recurring technical consulting to methodological co-design for international proposals.

  • Premium technical reports and transfer of analytical pipelines.
  • Doctoral mentoring in instrumental analysis and applied AI.
  • Specialized training in AI agents, RAG systems and reproducible workflows.
  • Methodological support for national and international research calls.
  • Experience in awarded research projects and execution with traceable deliverables.
Evaluation and technical judgment

We know European research programs from the inside

We have direct experience in evaluation processes for European research programs. That perspective translates into better-oriented proposals, more defensible technical reports and the ability to anticipate weak points before they appear in review.

For confidentiality reasons, we do not publish program names, project titles or personal names. Professional references are provided under agreement when appropriate.

View anonymous case study
Tech Stack

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-UV

Python & Data Engineering

Python pandas numpy scipy Jupyter FastAPI Git

Databases & Vector Stores

SQLite PostgreSQL JSON Chroma FAISS Qdrant Vector DBs
Featured Projects

What I'm building now

RAG · Vector DBs

EcoLab RAG

Finished product for turning scientific literature, reports, figures, audio and video into a local knowledge base with semantic search and thematic graphs.

View product
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.

How I work

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.

Contact

Do you have a project in mind?

Scientific analysis, AI consulting, or a collaboration in research programs. Tell me the problem and we will see whether it fits a mentoring session, a pilot or a longer collaboration.

Email info@dataquorum.net
GitHub davinson-pezo
Telegram @davinson
Location Jülich, Germany
ORCID 0000-0001-8978-9498

Free diagnostic call

In 30 minutes we review objective, data, constraints and the delivery format you need. If there is no fit, I will say so clearly.

Talk to DataQuorum (30 min, free)

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