Data Scientist · Bioinformatics · ML/AI Consultant

Lisbon, Portugal · Campinas, Brazil

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Ph.D. in Genetics & Molecular Biology with specialization in Big Data and Machine Learning. I bridge wet-lab biology, data science, and AI/ML frameworks to deliver practical, data-driven solutions in agriculture, biotechnology, and medicine.

• 15+ peer-reviewed publications (h-index 12)
• International consulting across academia and industry (Brazil, USA, Portugal)
• Experience in:
  • delivering solutions to my clients (medicine, engineering, publishing)
  • securing national and international competitive funding
  • coordinating interdisciplinary projects
  • mentoring MSc/PhD students and training personnel

• 🌱 Agrilyzer – ML platform integrating geospatial climate data (NASA POWER) for adaptive crop planning.
• ⚕️ Precision Medicine – Predictive models for patient outcome stratification using transcriptomic data.
• 🦴 3D-Printed Implants – Regression pipelines predicting biomechanical performance from fabrication parameters.
• 🔗 GMN (Graph Molecular Networks) – In development: curated PPI dataset for protein–protein interaction prediction and functional annotation.
• 📰 Fake News Detection – Capstone project in Unicamp’s ML specialization, coordinated a team of 5 to build transformer-based NLP pipeline with XAI visualization.

• Plant Physiology (2011): Synergic regulation of bZIP63 gene (Arabidopsis) by energy and drought
• Current Biology (2018): Circadian entrainment in Arabidopsis by sugar-responsive bZIP63
• New Phytologist (2021): Sugar-responsive circadian clock regulator bZIP63 modulates growth
• Frontiers in Plant Science (2022): Post-translational modifications and carbon metabolism (Review)
• Planta (2024): SUMOylation of rice DELLA SLR1 enhances yield under salt stress

Full list → Google Scholar

• Automated pipelines for data processing and exploratory analysis
• Development of AI agents and workflows (Coursera: Building AI Agents and Agentic Workflows)
• Sandboxing with local LLMs (Ollama, llama.cpp, LiteLLM, LangChain)
• Multi-modal local models & stable diffusion for branding and science communication
• Integrated approach: AI Agents + Data Science + ML for precision agriculture and applied biosciences