Chiara Murena
Napoli
Profilo professionale
PhD in Agricultural Sciences with strong expertise in analytical reasoning, structured data validation, and interpretation of complex biological systems. Experienced in identifying inconsistencies, validating experimental outcomes, and integrating multi-layer datasets (physiological, biochemical, and omics).
Skilled in translating scientific complexity into clear, structured reasoning and step-by-step explanations. Strong focus on reproducibility, logical soundness, and cross-validation of results.
Particularly interested in applying scientific thinking to AI model evaluation, error analysis, and improvement of reasoning systems.
Panoramica
7
7
years of professional experience
Esperienza lavorativa
PhD Plant Biology and Agricultural Sciences
Faculty of Science of the University of Porto
Porto, Portugal
2022.01 - 2025.12
Project: Botrytis-X-Talk
International research stays (as part of PhD experience)
School of Biosciences, University of Birmingham, UK, May–Oct 2023 University Jaume I, Castelló de la Plana, Spain, Jan 2024 & Jul 2025
- Designed reproducible experimental workflows for disease assessment and resistance validation
- Performed systematic validation of experimental data across multiple biological layers
- Identified inconsistencies between phenotypic, physiological, and molecular datasets
- Integrated multi-omics data (transcriptomics, metabolomics) with physiological measurements
- Applied multivariate statistical analysis and functional pathway interpretation (GO, KEGG)
- Developed structured approaches to interpret complex biological systems
- Translated experimental results into clear, structured reports for technical and non-technical audiences
Additional Contributions
- Coordinated work with international collaborators (UK, Spain)
- Presented research in workshops and outreach events
- Adapted communication across multidisciplinary and multicultural teams
Research fellowship
Faculty of Science, University of Porto
Porto, Portugal
2021.10 - 2021.12
Project: S4Hort_Soil&Food
- Designed structured soil sampling campaigns ensuring reproducibility and spatial consistency
- Applied standardized protocols for data collection and validation
- Recorded and organized environmental metadata for analysis reliability
Fruit Quality Supervisor
Frutoeste
Lisbon, Portugal
2021.02 - 2021.05
Technician responsible for quality parameter assessment of fruit production according to local and international market standards to maintain overall final-consumer satisfaction.
- Conducted quality control and anomaly detection across production datasets
- Validated and structured agricultural production data for traceability
- Ensured compliance with international standards (GlobalG.A.P.)
- Produced structured reports to support decision-making processes
Research fellowship
Instituto Superior de Agronomia of University of Lisbon
Lisbon, Portugal
2020.03 - 2021.02
Project: GOFigo Produção
- Performed nutrient and soil analysis using standardized laboratory protocols
- Applied quantitative methods for data validation (ICP-OES, Kjeldahl, LOI)
- Evaluated plant nutritional status using structured indices (DOP)
Erasmus Trainee – Soil Microbiology
ESAC, Politécnico de Coimbra
Coimbra, Portugal
2019.03 - 2019.10
- Developed and optimized experimental protocols for plant–fungus interaction studies
- Quantified symbiotic efficiency and validated experimental outcomes
- Performed comparative analysis between experimental conditions
Istruzione
PhD in Plant Biology and Agricultural Science -
Faculty of Science of the University of Porto
Porto (Portugal)2025-12
MSc Agricultural Sciences and Technologies -
University of Naples Federico II
Portici (NA)2019-03
BSc Agricultural Technologies -
University of Naples Federico II
Portici (NA)2017-02
SKILLS
Analytical & Cognitive Skills
- Analytical reasoning & problem solving
- Data validation & quality control
- Scientific reasoning and hypothesis testing
- Structured communication and technical writing
Scientific & Technical Skills
- Plant physiology and soil–plant interactions
- Experimental design (controlled and greenhouse conditions)
- Multi-omics data integration
- Statistical analysis (R, SPSS, GraphPad)
- Scientific reporting and documentation
Transferable Skills
- Organization & coordination
- Team collaboration (international environments)
- Adaptability & fast learning
- Autonomy & goal orientation
- Time and deadline management
Languages
Italiano
Madrelingua
C2
Inglese
Avanzato
C1
Portoghese
Avanzato
C1
SKILLS RELEVANT FOR AI MODEL EVALUATION
- Systematic validation of experimental and multi-layer datasets
- Identification of inconsistencies, anomalies, and conflicting results
- Cross-validation across independent methodologies (physiology, biochemistry, omics)
- Structured reasoning and step-by-step scientific explanation
- Translation of complex systems into clear logical workflows
- Scientific problem solving and hypothesis testing
- Data quality control and reproducibility-focused workflows
Cronologia
PhD Plant Biology and Agricultural Sciences
Faculty of Science of the University of Porto
2022.01 - 2025.12
Research fellowship
Faculty of Science, University of Porto
2021.10 - 2021.12
Fruit Quality Supervisor
Frutoeste
2021.02 - 2021.05
Research fellowship
Instituto Superior de Agronomia of University of Lisbon
2020.03 - 2021.02
Erasmus Trainee – Soil Microbiology
ESAC, Politécnico de Coimbra
2019.03 - 2019.10
PhD in Plant Biology and Agricultural Science -
Faculty of Science of the University of Porto
MSc Agricultural Sciences and Technologies -
University of Naples Federico II
BSc Agricultural Technologies -
University of Naples Federico II