Alessandro is a senior computational biologist, with a broad experience in -omics data integration and analysis. His main interest is to understand transcriptional regulation mechanism in health and disease, with a specific focus on the brain. Currently, he is working in the Schaefer Lab to develop machine learning and deep learning approaches which predict gene expression from epigenomic data to understand cancer evolution in brain tumors. He spent a few pre-doc years both in and outside of academia, working on structural biology, molecular and quantum mechanics applied to protein structure/function relationships, and drug design. Then, he enrolled in SEMM in the lab of Prof. Testa in IEO to earn a PhD in Systems Medicine. During this period he studied monogenic rare neurodevelopmental disorders, finally focusing on the genetic and molecular bases of human evolution. As a postdoc, he later moved to Human Technopole (HT), with the Testa lab, to deepen his understanding of neurodevelopment and human evolution, leading projects that leveraged sophisticated CRISPR approaches10 and advanced in vitro models. From 2020 to 2025 he taught data integration for the Master of Science in Bioinformatics for computational genomics as adjunct professor. During his career he won several recognitions, including a IEO-CCM Foundation fellowship, and an EMBO exchange grant to join the lab of Prof. Ana Pombo at MDC in Berlin, where he applied GAM data analysis and integration with single-cell multiomics. In the last 3 years, he has also been a post-doc representative at HT, showing his interest and proactiveness in improving the quality of life and research for young researchers. He is now a postdoc in the lab of Martin Schaefer working on machine learning models to predict the effect of DNA methylation changes in tumor evolution.