About me

In 2015 I became Ph.D. in Mathematical and statistical methods for economic and social sciences at the University of Perugia, Italy. The title of my thesis was “Inverse probability weighting and doubly robust estimators under model misspecification and a study on the socioeconomic determinants of end-stage renal disease in Sweden”. I have a bachelor’s and master’s degree in Statistics and computer science (University of Perugia, Italy). I started my Ph.D. program in Italy in 2013 and I have spent two years as visiting Ph.D. student at the department of statistics of Umeå University, Sweden. Through my doctoral degree I researched on causal inference methodologies and started a collaboration with the Swedish Childhood Diabetes Study Group. Before my postdoc employment at the Centre for PharmacoEpidemiology (CPE) I was involved in a project using the national stroke register “Riks-Stroke register” with the aim at studying disparities and socioeconomic inequalities in emergency care after stroke in Sweden. My postdoc project at the CPE was about new methodologies for time-varying exposure in pharmacoepidemiology. After my postdoctoral training I started to work as statistician in several projects related to drug safety and I am currently the principal investigator of a project on socioeconomic factors and antidiabetic medication use. In my free time I like drawing black and white portraits.


November 2015

Doctoral degree in "Mathematical and Statistical Methods for Economic and Social Sciences"

University of Perugia, Perugia, Italy


July 2007

Master degree in “Statistics and Computer Science”                                                                   

University of Perugia, Perugia, Italy


July 2003

Bachelor degree in “Statistics and Computer Science”                                                                   

University of Perugia, Perugia, Italy

Academic honours, awards and prizes

-August 2019, Honor of best reviewer 2018 acknowledged by the scientific journal  Pharmacoepidemiology and Drug Safety.           


- December 2018, Award from the American College of Epidemiology for the best paper published by a junior investigator in the Annals of Epidemiology. The awarded article is ”Marginal structural model to evaluate the joint effect of socioeconomic exposures on the risk of developing end-stage renal disease in patients with type 1 diabetes: a longitudinal study based on data from the Swedish Childhood Diabetes Study Group”.                   


- October 2018, amongst articles published in Pharmacoepidemiology and Drug Safety between July 2016 and June 2018, my article my article “Methods for time-varying exposure related problems in pharmacoepidemiology: An overview” was one of the journal’s top 20 most downloaded papers.