PhD in Artificial Intelligence graduate in 2022 with a Masters in Applied Mathematics and 10+ years experience in complex data modelling: I have worked in the exposure science world liaising with large multinational product manufacturing companies and industry associations. My passion passion for applied sciences, scientific research and my natural drive to learn new things lead me into becoming a researcher in Artificial Intelligence and a startup founder.
A four-year project focusing on Explainable Artificial Intelligence.
Master degree in financial mathematics with thesis on stochastical differential equations.
Undergraduate degree covering different aspects of applied mathematics with final thesis on game theory.
I was involved in data wrangling and analyses, development of predictive models implemented on cloud-based software tools and writing of scientific reports.
I carried out profitability analyses of new life insurance products and supervised the implementation of the Solvency II procedures to meet risk management standards.
My main task involved portfolio administration activites and policy payments.
I carried out operational risk analyses, prepared budget, forecast reports and investment planning reports and supervised portfolio administration activities.
External Scientific Report, EFSA Journal, Supporting Publications 2013: EN-415, DOI: https://doi.org/10.2903/sp.efsa.2013.EN-415
Food Additives & Contaminants: Part A, 31(10), 1639-1651, DOI: https://doi.org/10.1080/19440049.2014.955886
Journal of Toxicology and Environmental Health, Part B, 20(8), 423-446, DOI: https://doi.org/0.1080/10937404.2017.1396704
Journal of exposure science & environmental epidemiology, 30, 28-41, DOI: https://doi.org/10.1038/s41370-018-0104-3
International Journal of Environment, Agriculture and Biotechnology, 5(2). Retrieved from http://journal-repository.com/index.php/ijeab/article/view/1726
Proceedings of The 28th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Republic of Ireland, December 7-8, 2020. Retrieved from http://ceur-ws.org/Vol-2771/AICS2020_paper_33.pdf
Information fusion, DOI: https://doi.org/10.1016/j.inffus.2021.05.009
Machine learning and knowledge extraction, DOI: https://doi.org/10.3390/make3030032
The Actuary, pp. 27-29. Retrieved from https://www.theactuary.com/features/2016/08/2016/08/02/data-dining