I received my Ph.D. in “computational mathematics and decision sciences” from the University of Pavia and Università della Svizzera Italiana in 2021, with a thesis titled “Explainable artificial intelligence: an application to complex genetic diseases”, under the supervision of prof. Marco Gori. I obtained my master’s degree with Honors in Physics from the Catholic University of Brescia. My research interest lies in the field of machine learning, particularly in explainability and reliability topics. I am currently working as a quantitative analyst in the risk and pricing model validation team of Unicredit bank. I love physics, football, cinema, theatre, and popular science.
I am open to any kind of collaboration: academic, industrial, or related to popular science.
More information and contacts can be found here.
Nicola on this site
- [Sep 22nd 2021] LabMeeting: Trustworthy and Explainable Artificial Intelligence: an application to complex genetic diseases
- [Feb 17th 2021] LabMeeting: Post-Mendelian Models
- [Jan 27th 2021] LabMeeting: Mathematics of feature importance and logic constraints to feature importance
- [Apr 29th 2020] LabMeeting: COVID-19 Italian and European pandemic: a SEIR model with undetected fraction and mobility-dependent transmission rate
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