RESEARCH
Dr. Lagani’s research lies at the intersection of bioinformatics, biostatistics, and artificial intelligence, with a central focus on developing computational methods for the analysis and interpretation of high-dimensional molecular data. He is particularly interested in extracting biologically meaningful insights from omics datasets—such as genomics, transcriptomics, and epigenomics—by leveraging statistical modeling, machine learning, and causal inference techniques. This work aims to bridge the gap between raw data and actionable biomedical knowledge, with applications in both basic biological research and translational medicine.

BIOGRAPHY
Dr. Vincenzo Lagani is a Research Scientist at King Abdullah University of Science and Technology (KAUST) and a Visiting Professor at Ilia State University in Tbilisi, Georgia. His work lies at the intersection of machine learning, statistics, molecular biosciences, and precision medicine. He earned his PhD in Operations Research from the University of Calabria, Italy (2009), and subsequently held postdoctoral research positions at the Foundation for Research and Technology – Hellas (FORTH) and the University of Crete, Greece (2010–2018). He later joined Ilia State University, where he was awarded a Marie Skłodowska-Curie Actions (MSCA Widening Fellowship) for the CHARM-Vis project, aimed at uncovering the molecular mechanisms of memory formation at the single-cell level. Since 2021, he has been at KAUST, focusing on the development of analytical methods for single-cell and multi-omics data integration.
A dedicated educator, Dr. Lagani began his teaching career in 2014 at the University of Crete and has continued to teach at Ilia State University and, to this day, at KAUST. He specializes in designing interdisciplinary curricula that enable students from diverse academic backgrounds to independently perform advanced data analyses in life science research. Most recently, he co-authored Fundamental Skills in Bioinformatics, a Massive Open Online Course (MOOC) offered on Coursera, which has enrolled over 10,000 students to date.