Biography
Vincenzo Lagani is an Instructional Assistant Professor in the Biomedical Sciences Division at KAUST. He earned his Ph.D. in Operations Research from the University of Calabria, Italy, in 2009. Since then, he has held research and academic positions at the University of Crete (Greece), Ilia State University (Georgia), and KAUST (Saudi Arabia), working at the intersection of quantitative methods, artificial intelligence, and the life sciences.
Since 2014, Vincenzo has taught programming, biostatistics, bioinformatics, and machine learning across these institutions. His teaching experience spans multidisciplinary and multicultural academic environments, involving students from diverse backgrounds, including biology, computer science, and quantitative sciences.
Since 2014, Vincenzo has taught programming, biostatistics, bioinformatics, and machine learning across these institutions. His teaching experience spans multidisciplinary and multicultural academic environments, involving students from diverse backgrounds, including biology, computer science, and quantitative sciences.
Research Interests
Vincenzo's interests focus on the development and application of quantitative methods for the life sciences, ranging from biostatistics to modern machine learning, deep learning, and generative AI.His research has addressed causal inference, biomarker discovery, predictive modelling, and the analysis and integration of high-dimensional biological data, particularly genomics, transcriptomics, and other omics technologies.