Pietro Barbiero

Artificial intelligence engineer - Computational scientist

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.

Pietro Barbiero

Work experience

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.


Algorithm Developer - S.d.O. Servizi di Organizzazione s.a.s., Italy



H-index 4 and 74 citations @scholar
Since 2017: 3 journals, 12 conference papers.

Research projects

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



Top Team Award at the European Innovation Academy 2019

Conference grant, DECON - International Conference on Decision Economics


Conference grant, WIRN - 28th Italian Workshop on Neural Networks


Conference grant, WIRN - 27th Italian Workshop on Neural Networks