Ludovica Celli is a postdoctoral fellow bioinformatician at the Experimental Hematology Lab and at the Computational Cancer Immunotherapy, where she focuses on dissecting the interplay between hematological malignancies and tumor-reactive engineered T cells by applying cutting-edge bioinformatic methods to single-cell multiomic data. She also collaborates with the Institute for Biomedical Technologies (ITB) at the National Research Council (CNR), contributing to the development of computational strategies for integrating and interpreting multi-omic cancer dataset.

Ludovica holds a master’s degree in Molecular Biology and Genetics from the University of Pavia, where she also earned her PhD in Genetics, Molecular and Cellular Biology, During her PhD, she developed ad-hoc bioinformatic pipelines to study the regulatory role of GC-AG introns in alternative splicing. As part of her academic training, she spent a research period at the Department of Cell and Molecular Biology, Uppsala University, Sweden, where she gained expertise in machine learning approaches to characterize glioblastoma from transcriptomic data.