Statistical Programmer/ Data Analyst
- Deep Medicine program, The George Institute for Global Health.
I work as a Statistical Programmer/Data Analyst in The George Institute for Global Health. I am part of the research group led by Dr. Kazem Rahimi.
I achieved my Master’s Degree in 2015 whilst studying at the Department of Economics, Statistics and Business Administration at University of Calabria, Italy (specialising in Statistics and Computer Science for Business Administration and Finance).
I have experience partaking in different research projects concerning the use of structured, semi-structured and unstructured data toward a data informed approach in several fields (i.e. innovation policies, start-up administration, etc).
Deep Learning for Electronic Health Records: A Comparative Review of Multiple Deep Neural Architectures
AYALA SOLARES J. et al, (2019), Journal of Biomedical Informatics
Solares JRA. et al, (2019), JOURNAL OF HYPERTENSION, 37, E46 - E46
Long-term exposure to elevated systolic blood pressure in predicting incident cardiovascular disease: evidence from large-scale routine electronic health records
CANOY DEXTER. et al, (2019), Journal of the American Heart Association
Policslab: Insights for supporting innovation policies
Laurita S. et al, (2019), FEMIB 2019 - 1st International Conference on Finance, Economics, Management and IT Business, 94 - 101