I have always been interested in inference, uncertainty, statistics, computer science and data science. I enjoy playing sports and I have an active and healthy lifestyle (non-smoker and non-drinker). When I'm not reading about statistics I like to learn more about contemporary history and devour book after book on my Kindle.
I have a BSc degree in Statistics and Computer Science from the University of Padua (2006-2009) and a MSc degree in Biostatistics from the University of Milano-Bicocca (2009-2012). During my BSc I visited for 6 months the Deparment of Mathematics at the University of Barcelona, while during my MSc I wrote my thesis at the Department of Public Health at the Karolinska Institute.
My research focuses on the development of statistical methods dealing with probability weights. For example, I use mathematical programming techniques to obtain optimal probability weights defined as those with smallest Euclidean distance from target weights among all sets of weights that satisfy a constraint on the variance of the resulting weighted estimator.
Examples of application include
- Analysis of treatment effect across sub-populations: optimal probability weights can be used to evaluate the effect of a treatment (or intervention) on an outcome across sub-populations of the population under study.
- Generalization: optimal probability weights can be used to generalize the study findings to target populations.
In addition, I very much enjoy teaching statistics and I am passionate about deepening my knowledge of mathematical statistics, probability and data science.
Santacatterina M, Bottai M. Inferences and conjectures in clinical trials: a systematic review of generalizability of study findings. J Intern Med, 2016, 279(1):123-6.
Talk - September 7, 2016
Optimal probability weights for inference with constrained precision.
International Conference of the Royal Statistical Society, Manchester, UK
Since 2012 I am a teaching assistant for the courses:
- Biostatistics 1, 2, 3 and 4 at the Research School for Clinicians in Epidemiology at the Karolinska Institute.
- Biostatistics 1 and 2 at the Doctoral Program in Epidemiology at the Karolinska Institute.
Akademiska priser och utmärkelser
* 2007 (1.500 EUR) - Erasmus Grant: 6 months at the Deparment of Mathematics - University of Barcelona
* 2010 (4.500 EUR) - Programme Extra Plus - Fondazione Cariplo: 9 months at the Department of Public Health Karolinska Institutet
* 2013; 4 years (1.280.000 SEK) - KID-Funding, written in collaboration with Prof. Matteo Bottai, Prof. Anna-Mia Ekström, Prof. Anders Sönnerborg and Prof. Rino Bellocco. Project title: Novel methods for estimating optimal dynamic treatment regimes for HIV-infected patients.