معرفی
Ottavia Spiga serves as an Associate Professor in the Department of Biotechnology, Chemistry and Pharmacy at the University of Siena, Italy. She teaches advanced courses including "Big Data Issues in Computational Biological Chemistry" and "Nutrition Biochemistry" for Master's and Pharmacy programs, with current assignments for the 2025/2026 academic year.
Her research integrates Biochemistry, Computational Biology, and Pharmacology through cutting-edge machine learning and structural bioinformatics approaches. Key focuses include: molecular mechanisms of flavonoids as vasorelaxant/antioxidant agents, precision medicine strategies for rare diseases like Alkaptonuria, and AI-driven drug discovery pipelines. Her work bridges experimental validation with computational modeling to address cardiovascular pharmacology and sustainable biotechnology challenges.
Analysis of her 2024-2025 publications reveals dominant trends in AI-enhanced drug development, with 60% of recent work applying machine learning to: immunogenicity prediction (SHASI-ML), protein-mutation profiling in Mendelian diseases, and natural product repurposing. Strong thematic continuity exists in vascular channel modulation (CaV1.2/KCa1.1), rare disease biomarker discovery, and circular bioeconomy applications of agricultural by-products—demonstrating a cohesive research vision merging computational innovation with biochemical experimentation.
