Data scientist/data analyst/data engineer

1) Developed software for the automatic analysis and annotation of physiological signals (mainly ECG and ABP waveforms), using Python and MATLAB.
2) Developed Artificial Intelligence predictive models based on structured clinical data, using Python and PostgreSQL.
3) Took care of the management and maintenance of laboratory instrumentation and software.

1) Developed part of my Master’s Thesis project thanks to a collaboration between SPINlabS (Politecnico di Milano,
Milan, Italy) and Laboratory for Computational Physiology (LCP) (MIT, Cambridge (MA)).
2) Participated in the Datathon that took place at Beth Israel Deaconess Medical Center (BIDMC) (Boston (MA)) for
the Artificial Intelligence / Machine Learning Symposium.

1) Participated as a mentor to the 2nd Milan Critical Care Datathon, after having already participated, as a standard participant, to the 1st edition the previous year.
2) Demonstrated ability to work as a part of a team made of people coming from different parts of the world and for the sake of a common project, contributing to win the competition.
3) Investigated the correlation between the poor efficacy of trials of new therapies for sepsis and the heterogeneity of septic population, using Machine Learning unsupervised algorithms.

Final Grade: 110/110 (magna cum laude).

Thesis project title: “Characterization and Early Prediction of Sepsis by use of a Comprehensive Paradigm for Modeling and
Tracking of Cardiovascular Dynamics in ICU”, advisor: Prof. Riccardo Barbieri.
1) Collaboration between SPINlabS (Politecnico di Milano, Milan, Italy) and Laboratory for Computational
Physiology (LCP) (Massachusetts Institute of Technology, Cambridge, MA).
2) Developed software for the automatic analysis and annotation of ECG and ABP waveforms, using data coming
from the MIMIC-III Waveform Database.
3) Built Artificial Intelligence predictive models to identify septic patients in the first hours after ICU admission, using
data coming from both the MIMIC-III Clinical Database and the MIMIC-III Waveform Database.

Final Grade: 109/110.

Thesis project title: “Tracking of Movement by a use of Inertial Sensors”, advisor: Prof. Marco Chiani

Final Grade: 100/100.