Luca Pestarino joined the Cancer Registry in 2022 as a postdoc working on the project “RNA expression and genetic variants in the causal estimation of endometrial cancer risk – A Mendelian randomization study". The main aim of this research is to investigate the mechanisms underlying the development of endometrial cancer by studying pre-diagnostic circulating RNAs and genetic variants in samples from the Janus Serum Bank.
His research interests mainly include machine learning and deep learning methods and their application to clinical scenarios.
Luca has received his Ph.D. in Data Science and Computation at the Alma Mater Studiorum - University of Bologna in March 2022. His research was conducted jointly with the Computational and Chemical Biology Laboratory of the Italian Institute of Technology. His Ph.D. thesis was entitled “Challenges and opportunities of machine learning for clinical and omics data” and it mainly involved the use of machine learning techniques to create predictive models for clinical data, with the aim of deepening the understanding of the analysed diseases causes.
RNA expression and genetic variants in the causal estimation of endometrial cancer risk - A Mendelian randomisation study
- Pestarino, G. Fiorito, S. Polidoro, P. Vineis, A. Cavalli and S. Decherchi, "On the Stability of Feature Selection in Multiomics Data," 2021 International Joint Conference on Neural Networks (IJCNN), 2021, pp. 1-7, doi: 10.1109/IJCNN52387.2021.9533806.