Lorenzo Martini, a Ph.D. Candidate specializing in Computer and Control Engineering at Politecnico di Torino’s Department of Control and Computer Engineering, focuses his work on Bioinformatics and Computational Biology research.

As a Physics Engineer with expertise in the Physics of Complex Systems, Lorenzo’s primary focus is on Single-cell multi-modal sequencing analysis, working closely with Roberta Bardini. His research aims to model the impacts of transcriptional regulation on gene expression by seamlessly integrating transcriptomic data with genomic and epigenomic levels.

Specifically, Lorenzo is at his third year of PhD, and is currently working on integrating the Transcription Factors interaction in a comprehensive transcriptional regulation model. Consequently, this will help in advancing his previous model GAGAM (GAGAM v1.2: An Improvement on Peak Labeling and Genomic Annotated Gene Activity Matrix Construction,  Martini et al., 2022), a Genomic-Annotated Gene Activity Model that helps linking scATAC-seq data with gene expression.

Meanwhile, he is starting working in the computational neuroscience domain, combining computational biology with electrophysiology to explore the relations between neuronal activity states and their genomic profiles. 

Explore Lorenzo Martini’s cutting-edge work in Bioinformatics, Computational Biology, and Single-cell sequencing analysis. Stay updated on the latest works and projects, and do not hesitate to contact him for any information or possible collaboration.