I am joining the Harvard-MIT Center for Regulatory Science (CRS) as an Affiliated Member!
I am part of the scientific committee of BAYSM 2022!
I will be serving as Chair-elect of the Junior Section of ISBA (j-ISBA). It will be an honour to work for the new generation of Bayesian researchers!
On the media
alejandra.avalospacheco (at) unifi.it
I am a research fellow (assegnista di ricerca) at the University of Florence in the Department of Statistics, Computer Science, Applications ''G. Parenti'' of the Center for Data Science, working with Prof. Francesco C. Stingo and Prof. Monia Lupparelli. I am also an affiliated member at Harvard University in the Harvard-MIT Center for Regulatory Science.
Previously I was a postdoctoral fellow in Statistics at Harvard University in the Harvard-MIT Center for Regulatory Science. I was also part of Dr Lorenzo Trippa's group at the Dana-Farber Cancer Institute (DFCI) in the Department of Data Science.
I did my PhD in Statistics on the joint CDT programme between the University of Warwick and the University of Oxford (OxWASP). I worked on statistical methods for genomic data analysis with Prof David Rossell (UPF) and Dr Richard Savage (Warwick).
My main research interests include high-dimensional inference, applied Bayesian statistical modelling, dimensionality reduction, data integration, graphical models, and clinical trials. I am interested in applications to problems in medicine, in particular cancer.
2020 Audience choice award for my poster "Leveraging external data in Bayesian adaptive designs", 2020 Global Conference in Regulatory Science, Harvard Medical School (Massachusetts, USA).
2019 Savage award granted by the International Society for Bayesian Analysis (ISBA). Best PhD thesis in the category Applied Methodology: "Factor regression for dimensionality reduction and data integration techniques with applications to cancer data".
2017 & 2019 Travel award granted by the Objective Bayes section of ISBA.