Study of the intestinal microbiota using shotgun and amplicon-sequencing techniques in patients undergoing CAR-T therapy

PhD course in Biotechnological, Biocomputational, Pharmaceutical and Pharmacological Science.I worked as a bioinformatician and biostatistician for the Human Microbiomics Unit - Department of Medical Sciences.I specialized in bioinformatics and biostatistics, evaluating the human gut microbiome across diverse conditions, including:(i) Analyzing single-species genetic dynamics, focusing on Faecalibacterium prausnitzii.(ii) Adult cancer settings, like ovarian cancer and melanoma.(iii) Adult organ transplants, especially liver transplants.(iv) Pediatric hematopoietic stem cell transplantation.(v) Dietary interventions, such as dietary shifts and nutraceutical supplementation.(vi) Viral infections, including those caused by SARS-CoV-2 and respiratory syncytial virus.I also explored microbial components in environmental habitats, such as the root-associated microbiome of Vitis vinifera cultivars and microbiome networks in the northern Adriatic Sea's pelagic and benthic offshore systems.My responsibilities included processing raw sequences from next-generation sequencing (NGS) approaches, both amplicon and shotgun, utilizing state-of-the-art techniques. I applied various statistical methods to post-process the data, enhancing my proficiency in programming languages like Bash, R, and Python. I also delved into machine learning, managed Unix infrastructure (both physical and software), utilized high-performance computing (HPC), worked with containers (Docker and Singularity), and conducted federated data analyses using the Opal/Datashield platform.Throughout my PhD, I actively participated in the ORCHESTRA project, a Horizon 2020-funded European Project central to my thesis. I contributed to our project work package, delivering reports, and collaborating with international partners and EU Commission members.

Visiting PhD Student in the context of the ORCHESTRA project, under the supervision of Prof. Adriana Tami.Here I deepened several aspects of the COVID-HOME study, evaluating epidemiological and clinical aspects with biostatistical approaches, and investigated the links with viral phylodynamics and the spread of the outbreak using molecular data and bioinformatics pipelines.

Bioinformatics and biostatistical analysis of shotgun metagenomics sequencing data (NGS) from fecal samples for a comprehensive characterization of the intestinal microbiota, particularly focusing on species of pharmaceutical and clinical interest as Faecalibacterium prausnitzii

In AML model, study of nuclear inositide-dependent signaling involved in growth and differentiation, mediated by phospholipase C beta 1 and epigenetic regulators.

Brief curricolar stage experience as an economy management employee and gardener