Areas of Expertise
- Computational Statistics
- Bayesian Statistics
- Decision Theory
- High Dimensional Data Analysis
- Clinical Trials Design and Analysis
Education
- PhD, University of Padova (2019)
My research is primarily driven by the design and analysis of complex biomedical studies. I have mainly used Bayesian modeling to analyze data. Part of my work focuses on developing scalable computational methods to estimate models, such as using Variational Bayes techniques.
I am currently working on methods for signal detection in high-dimensional data motivated by learning the safety profiles of drugs by analyzing claims data and Electronic Health Records. Additionally, I am broadly interested in clinical trial design and analysis, particularly using Bayesian decision theory.