Mario Lauria

Mario Lauria is an Associate Professor at the Department of Mathematics of the University of Trento, also affiliated with the Interdepartmental Center for Mind/Brain Sciences (CIMEC). He holds a PhD in Electrical and Computer Engineering from the University of Naples Federico II and conducted postdoctoral research at the University of Illinois and UC San Diego. He has held academic positions at The Ohio State University, TIGEM in Naples, and the Microsoft Research-COSBI Centre. His research focuses on computational methods for biomarker discovery, systems biology, and gene regulatory network analysis. Lauria has coordinated multiple EU and industry-funded projects, including work on metabolic markers of pre-diabetes and systems biology approaches to neurodegenerative diseases.

Education:

• PhD in Electrical and Computer Engineering, University of Naples Federico II (1997)
• M.S. in Computer Science, University of Illinois at Urbana-Champaign (1996)
• Laurea in Electrical Engineering, University of Naples Federico II (1992)

Research interests emphasize bioinformatics, systems biology, and high-performance computing, with applications to gene regulatory networks, diagnostic biomarkers, and multi-omics data integration. His work bridges computational methods with biological systems, particularly in aging, neurodegenerative diseases, and metabolic disorders.

Publications reflect a focus on Alzheimer’s biomarkers, diabetes, and gene network analysis. Key contributions include rank-based biomarker algorithms and consensus clustering methods for metabolic profiles. His interdisciplinary approach spans computational tools (e.g., SCUDO, rScudo) and collaborative projects with pharmaceutical and academic partners.

Awards include the 2012 SBV IMPROVER Challenge win and IEEE Senior Membership. He serves on editorial boards for journals like IEEE Transactions on Parallel and Distributed Systems and BMC Bioinformatics.

Grants and collaborations include leadership in the EarlyBird pre-diabetes project and contributions to EU-funded initiatives like AnEUploidy. His academic service roles include coordinating the Data Science and Quantitative Biology master’s programs at Trento University.

Labs/Teams: Active in the Microsoft Research-COSBI Centre for systems biology and the CIMEC interdisciplinary neuroscience hub.