Michela Sperti

Ph.D. candidate in Bioingegneria E Scienze Medico-chirurgiche , 36th cycle (2020-2023)
Department of Mechanical and Aerospace Engineering (DIMEAS)

Research Assistant
Department of Mechanical and Aerospace Engineering (DIMEAS)

Docente esterno e/o collaboratore didattico
Department of Mechanical and Aerospace Engineering (DIMEAS)



Thesis title

Predicting Personalized Pathological Risks and Dynamics in Cardiology - How to Exploit Data-Driven Approaches in Clinical Decision Support Systems

Research topic

Predicting pathological risks and dynamics through explainable artificial intelligence techniques.


Research presentation


Research interests

Computer Science
Medical Innovation and Technology
Multiscale Modelling Methods in Biomechanics
Physiological mathematical modelling
Biomedical signal and image processing


Michela Sperti (SCOPUS ID: 57217331713, h-index: 5) is a third-year Ph.D. student at Politecnico di Torino, Bioengineering Department, with Prof. M. A. Deriu. She graduated in Biomedical Engineering at Politecnico di Torino in 2019 with a thesis on machine learning techniques for cardiovascular risk prediction in rheumatic patients. She worked for one year as a Research Assistant under the European-funded MSCA VIRTUOUS project (which aims to apply machine learning techniques to investigate taste and food properties). Currently, she is studying explainability techniques for machine learning and deep learning models applied in clinical decision support systems with a special focus on cardiovascular risk prediction. The final aim of her research is the understanding of complex mechanisms that underlie physiological processes. She is very passionate about teaching and is committed to communicating her results. She is the author of nine articles published in peer-review journals, three conference papers and she took part in three international workshops as both a teaching assistant and a speaker. She is Contributing Author of the book "Applied Deep Learning with TensorFlow 2" by U. Michelucci.

Scientific branch

(Area 0009 - Industrial and information engineering)


ERC sectors

LS7_10 - Health services, health care research, medical ethics
PE8_13 - Industrial bioengineering
PE1_18 - Scientific computing and data processing
PE6_12 - Scientific computing, simulation and modelling tools


Goal 3: Good health and well-being

Awards and Honors

  • Best Review Article of the Year Award, Presented to the authors of the highest impact review article published in 2022 in Minerva Cardiology Angiology. (2023)
  • Description of role of Michela Sperti in the writing and preparation of “Applied Deep Learning with TensorFlow 2 – Second Edition” published by APRESS/Springer in 2022. (2022)



Master of Science

MostraNascondi A.A. passati


Research groups


Last years publications

PoliTO co-authors

Publications by type

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