Education:
Ph.D. 2018 - 2022 Alma Mater Studiorum - Università di Bologna
- Dottorato di Ricerca in Nanoscienze per la Medicina e per l’Ambiente
- Specific field of the degree course: General Chemistry-Applied Physics
- Dissertation/thesis title: A Take on Complexity: Bio-Molecules and Human Metabolism Interaction Modelling for Health and Nutrition with Machine Learning
- Dissertation/thesis subject: General and Inorganic Chemistry-CHIM/03
- Thesis supervisor: Francesco Capozzi
Master of Physics 2015-2018 Alma Mater Studiorum - Università di Bologna
- Specific field of the degree course: Applied Physics LM-17 - 2nd level degree in Physics
- Dissertation/thesis title: WISDoM: Wishart Distributed Matrices Multiple Order Classification. Definition and Application to fMRI Resting State Data.
- Final degree mark: 110/110 cum laude
- Thesis supervisor: Enrico Giampieri
Bachelor of Physics 2011-2015 Alma Mater Studiorum - Università di Bologna L-30 - 1st level degree in Physics
- Dissertation/thesis title: Modello Bayesiano per la regressione di dati troncati con applicazione a dati biologici
- Thesis supervisor: Daniel Remondini
Research Activity & Expertise
- Extensive Background in statistical and mathematical physics applied to omic sciences
- 1H NMR Spectroscopy metabolomics
- Machine learning and advanced data analysis with Python
- Database creation and maintenance
- Complex network modelling
- Numerical methods for 2D NMR spectroscopy
- Imaging, TD-NMR and data integration for food structure characterization
Research Experience
Researcher (Junior) 03/2023 - Ongoing DISTAL, UniBo Cesena, FC
Main activities and responsibilities: Machine and Deep learning applied to NMR spectrometry and relaxometry for food structure characterization and biomarkers of intake detection. Omic sciences data integration for free living populations phenotyping (PE-10 ONFOOD).
Post Doctoral Fellow 03/2022 - 03/2023 CERM-CIRMMP, UniFi Sesto Fiorentino, FI
Main activities and responsibilities: In-vivo cell NMR kinetic studies. Digital biopsy modelling in the latent space, clustering and machine learning for in-vivo cells spectral data. Numerical methods for spectral data processing and MCR algorithms.
Research Grant, Collaborazione Coordinata e Continuativa 04/2018 - 07/2018 Università di Bologna-DISTAL, Bio-NMR Group Cesena, FC
Main activities and responsibilities: Development of multivariate models and learning algorithms for 1H NMR spectroscopy and MultiOmics data analysis in FOODBALL (The Food Biomarkers Alliance, Funding action: JPI HDHL JFA “Biomarkers for Nutrition and Health”, BioNH 2014), Contract: Prot.n.1149, 12/03/2018.
Participation in Projects
• PATHWAY-27, Pivotal assessment of the effects of bioactives on health and wellbeing. From human genoma to food industry. Grant agreement No: 311876
• AIM, Artificial Intelligence in Medicine. Funding by INFN-CSN5
• FOODBALL, The Food Biomarker Alliance. Joint Funding Action, JPI HDHL JFA “Biomarkers for Nutrition and Health” (BioNH 2014)
• FUTUREUAQUA, Future growth in sustainable, resilient and climate friendly organic and conventional European aquaculture. Funding by European Union’s Horizon 2020 research and innovation program under Grant Agreement No: 817737
• MARKAGE, European Study to Establish Biomarkers of Human Ageing. Grant agreement No: 200880, Funded under FP7-HEALTH
• NUAGE, New dietary strategies addressing the specific needs of elderly population for an healthy ageing in Europe. Grant agreement No: 266486, FP7-KBBE
• COST ACTION IG15209, Nuclear Magnetic Resonance Relaxometry for Dairy Products. Funded under E-COST, European Cooperation in Science and Technology
