معرفی
Claudio Angione is a Professor of Artificial Intelligence at Teesside University, leading the Computational Systems Biology Research Group and co-leading the Centre for Digital Innovation. He holds a PhD in Computer Science from the University of Cambridge and has held visiting professorships at the University of Bari (Italy) and KMUTT (Thailand). His research focuses on AI, machine learning, and systems biology, with applications in metabolic modeling, cancer metabolism, and multi-omics data integration. He has published over 70 peer-reviewed papers and received awards such as the Turing Network Development Award (2022-2023) and the Italian Embassy Award (2016).
Education:
- PhD in Computer Science, University of Cambridge (2015)
- Mathematics Degree, University of Catania (Italy)
Research Interests: Deep learning, genome-scale metabolic modeling, cancer metabolism, systems biology, and AI-driven biomedical applications. His work bridges computer science, mathematics, and biology to address complex challenges in healthcare and environmental systems.
Awards:
- Turing Network Development Award (2022-2023)
- Italian Embassy Award for Best Research Project (2016)
- ABTA Doctoral Researcher Award (2016)
Grants & Projects: Leads initiatives like the KTP collaboration on peatland restoration using deep learning and the development of AI-driven models for cancer treatment response prediction. He also collaborates with institutions like The Alan Turing Institute and the British Heart Foundation.
Labs & Teams: Heads the Computational Systems Biology Lab at Teesside University, fostering interdisciplinary research in AI and biomedicine. Active in international networks, including the Turing Network and academic partnerships in Thailand and Italy.
