My job consists in combining mathematics and computer science to analyze and study biological systems. My research activity focuses on machine learning, neural networks, and evolutionary algorithms applied to precision medicine.
2020 - present
Research Assistant - University of Cambridge, UK.
Development of AI solutions for precision medicine.
Funded by: European Union's Horizon 2020 research and innovation programme
(grant agreement No 84807).
2019 - present
Co-founder and Artificial Intelligence Engineer - Bactell Inc., US.
Invention and development of rapid, sensitive, and predictive methods for using microbial
genome-sequence information to improve antimicrobial susceptibility testing.
2017
Algorithm Developer - S.d.O. Servizi di Organizzazione s.a.s., Italy
Digital patient
@GitHub
@arΧiv
Development of a "digital twin" model of patients, i.e. a general framework that
composes advanced AI approaches and integrates mathematical modelling in order to
provide a panoramic view over current and future physiological conditions of patients.
Deep competitive learning
@GitHub
@arΧiv
Development of gradient-based competitive layers for unsupervised deep learning.
Evolutionary compression
@GitHub
#pdf
Development of evolutionary-based algorithms to compress large data sets.
2020 - present
Ph.D. Artificial Intelligence - University of Cambridge, UK
2017 - 2019
M.Sc. Engineering Mathematics - Politecnico di Torino, Italy
2013 - 2017
B.Sc. Computer Engineering - Politecnico di Torino, Italy
2019
Top Team Award at the European Innovation Academy 2019
Conference grant, DECON - International Conference on Decision Economics
2018
Conference grant, WIRN - 28th Italian Workshop on Neural Networks
2017
Conference grant, WIRN - 27th Italian Workshop on Neural Networks
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