Lucrezia Patruno
Lucrezia Patruno
Embedded Files
Postdoctoral Researcher
Postdoctoral Researcher
I completed my PhD in 2023 in Computer Science at the university of Milano Bicocca (Milan, Italy) under the supervision of Prof. Alex Graudenzi, Prof. Giulio Caravagna and Prof. Marco Antoniotti, after being a visiting PhD student at University of Trieste (Italy) with Prof. Giulio Caravagna and a visiting PhD student at Weill Cornell University (NY, USA) in 2022 with Dr. Dawid Nowak. I have been a postdoc in the CCG group since 2023, under the supervision of Dr. Simone Zaccaria.
My background is in Computer Science and the goal of my research is to use my computational background to design and develop methods and pipelines to analyse tumour sequencing data. Currently my primary focus is single-cell whole genome sequencing data: I'm working on Copy Number Variation (CNV) at the single-cell level and on the development of a pipeline to perform raw data analysis. Within my PhD I acquired expertise in the analysis and integration of multi-omics data developing CONGAS+, a method to call CNVs from single-cell gene expression and chromatin accessibility data. I also acquired bioinformatics analysis skills to analyse large-scale single-cell sequencing data from Patient Derived Organoids, that I am currently leveraging to develop a Nextflow pipeline for single-cell DNA sequencing raw data analysis.
Positions
2023 – Present | Postdoc, UCL Cancer Institute, London, UK.
06/2018 - 09/2018 | Google Summer of Code Internship, Data and Computational Biology Lab, University of Milano Bicocca, Milan, Italy.
Roles
2023 – Present | Visiting Scientist, The Francis Crick Institute, London, UK.
12/2021 – 06/2022 | Visiting PhD student, Weill Cornell Medicine, New York, NY, USA.
Honors and Awards
09/2024 | ECCB 2024 travel fellowship for poster presenting author, International Society for Computational Biology (ISCB), Turku, FInland.
06/2018 | Awarded summer school scholarship for to The Cornell, Maryland, Max Planck Pre-doctoral Research School in Computer Science (CMMRS 2018).
Education
11/2019 – 01/2023 | PhD in Computer Science, cum laude, University of Milano-Bicocca, Milan, Italy.
Thesis title: Computational strategies for single-cell multi-omics data analysis and integration.
Advisor: Prof. Alex Graudenzi, Prof. Giulio Caravagna and Prof. Marco Antoniotti.11/2017 – 10/2019 | Master's Degree (M.Sc.) in Computer Science, 110/110 summa cum laude, University of Milano-Bicocca, Milan, Italy.
Thesis title: Comparative assessment of machine learning techniques to denoise single-cell sequencing data.
Advisors: Prof. Alex Graudenzi and Prof. Marco Antoniotti.10/2014 – 07/2017 | Bachelor's degree (B.Sc.) in Computer Science, 110/110 summa cum laude, University of Milano-Bicocca, Milan, Italy.
Thesis title: Development of a Cytoscape app for the visualization of cancer progression models.
Advisor: Prof. Marco Antoniotti.
Page updated
Google Sites
Report abuse