I joined the clinical trials unit in June 2018 as a Medical/Trials statistician.Part of my role here is to assist in the design and set up of research projects which are primarily randomised controlled studies. I also provide statistical support to researchers in the form of writing statistical analysis plans, generating and validating randomisation schedules, undertaking both interim (e.g. Data Monitoring Committee reports), final analysis and dissemination of research findings.
I am completing my PhD at University College London which is looking into the complication of managing HIV in relation to Hepatitis C in persons seen for routine clinical cate in Italy. My research involves various data analysis of an Observational Cohort study of more than 15,000 HIV infected individuals.
My previous work experience has involved working in a wide range of clinical areas including cancer, cardiovascular medicine, mental health and vaccine studies.
Incidence and predictors of single drug discontinuation according to the presence of HCV coinfection in HIV patients from the ICONA Foundation Cohort Study
d’Arminio Monforte A., (2018), European Journal of Clinical Microbiology and Infectious Diseases, 37, 871 - 881
HIV-1 co-receptor tropism and liver fibrosis in HIV-infected patients
Silberstein FC. et al, (2018), PLoS ONE, 13
Access and response to direct antiviral agents (DAA) in HIV-HCV co-infected patients in Italy: Data from the Icona cohort
Tavelli A. et al, (2017), PLoS ONE, 12
Are HIV/HCV co-infected patients more likely to experience multiple lines of ART than HIV mono-infected patients? Results from the Icona Foundation study
Marchetti G. et al, (2016), JOURNAL OF THE INTERNATIONAL AIDS SOCIETY, 19
Is ART use associated with increased risk of ALT elevation in HIV/HCV co-infected patients over and above what is expected in HIV mono-infected? A nested case-control analysis
Shanyinde M. et al, (2016), JOURNAL OF THE INTERNATIONAL AIDS SOCIETY, 19