CV

Download CV

Education

Ph.D. in Information Engineering (Bioengineering curriculum), University of Padova, 2024 (expected)
M.S. in Bioengineering, University of Padova, 2024
B.S. in Biomedical Engineering, University of Padova, 2022

Work experience

Nov 2024 - Today: Ph.D. Student
- University of Padova, Department of Information Engineering
- Topic: “Enhancing type 1 diabetes care: A deep learning-powered clinical decision support system for proactive therapeutic interventions using explainable blood glucose forecasting”.
- Supervisor: Prof. Andrea Facchinetti; Co-supervisor: Prof. Giacomo Cappon
Feb 2022 - May 2022: Research Intern
- University of Padova, Department of Information Engineering
- Systems Biology and Bioinformatics Group (SysBioBig)
- Supervisor: Prof. Massimo Bellato

Awards

2025: Luigi Divieti & Marisa Maranzana - Politecnico di Milano Award
- Master’s thesis prize awarded by the National Group of Bioengineering (GNB)
2025: Special mention of Master’s thesis in the 3rd edition of the BCC Veneta Credito Cooperativo Award
- For the innovative theme and the theoretical and empirical contribution.
2022: “Mille e una Lode Award” by the University of Padova
- Reserved for the best students from each degree course (~3% of the students)
2022: Best Oral Presentation award of the Bioinformatics and Computational Biology Conference – BBCC2022
- For the work “Bactlife: an open-science-oriented simulator for bacterial communities’ evolution exploiting agent-based modeling and Dash GUI” (speaker: M. Bellato)

Skills

Languages: Italian (Mother tongue), English (C1), French (A2), Spanish (A2)
Digital Skills:
- Advanced: Matlab, R, Python
- Intermediate: LaTeX, Microsoft Office Package, Git/GitHub, Simulink
- Basic: SLURM Job Scheduler, SQL

Publications

Towards Safe and Explainable Glucose Forecasting Using Physiology-Driven Neural Networks

Calzavara, A., Prendin, F., Cappon, G., & Facchinetti, A. (2026), “Towards Safe and Explainable Glucose Forecasting Using Physiology-Driven Neural Networks”, in the 19th International Conference on Advanced Technology & Treatment for Diabetes – ATTD, Barcelona, Spain, March 11-14, 2026.

Systematic Review on Deep Learning Algorithms for Blood Glucose Forecasting in Type 1 Diabetes Permalink

Calzavara, A., Prendin, F., Cappon, G., Del Favero, S., & Facchinetti, A. (2026). Systematic Review on Deep Learning Algorithms for Blood Glucose Forecasting in Type 1 Diabetes. IEEE Journal of Biomedical and Health Informatics. doi: 10.1109/JBHI.2025.3630214

Evaluating the Effect of Input Features on Deep Learning Models for Blood Glucose Forecasting Permalink

Calzavara, A., Prendin, F., Cappon, G., Del Favero, S., & Facchinetti, A. (2025, July). Evaluating the Effect of Input Features on Deep Learning Models for Blood Glucose Forecasting. In 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 1-7). IEEE. doi: 10.1109/EMBC58623.2025.11252941

Leveraging T1DEXI Study to Develop Deep Learning Models for Predicting Blood Glucose Levels Permalink

Calzavara, A., Prendin, F., Cappon, G., & Facchinetti, A. (2025). Leveraging T1DEXI Study to Develop Deep Learning Models for Predicting Blood Glucose Levels. Diabetes technology & therapeutics, 27, e46-e46. doi: 10.1089/dia.2024.78502.abstracts.part2#sec-1

Simulating microbial communities’ evolution via Agent based modelling: a Python tool Permalink

M. Bellato, M. Cappellato, A. Calzavara, A. Lucchiari, S. Rebecca, and B. Di Camillo, "Simulating microbial communities’ evolution via Agent based modelling: a Python tool" in 8th Congress of the National Group of Bioengineering – GNB, Padova, Italy, Jun 21-23, 2023.

Bactlife: A Dash GUI to simulate bacterial communities evolution

Bellato, M., Cappellato, M., Rebecca, S., Calzavara, A., Lucchiari, A., & Di Camillo, B. (2023). Bactlife: A Dash GUI to simulate bacterial communities evolution. In Proceedings of 18th Conference on Computational Intelligence Methods for Bioinformatics & Biostatistics.

An agent-based simulator for microbial communities’ evolution Permalink

Bellato, M., Cappellato, M., Calzavara, A., Rebecca, S., Lucchiari, A., & Di Camillo, B. (2022). An agent-based simulator for microbial communities’ evolution. In BBCC22-Proceedings.

Implementation of a Python simulator for microbial communities evolution via agent-based modelling Permalink

M. Bellato, A. Calzavara, M. Cappellato, and B. Di Camillo, "Implementation of a Python simulator for microbial communities evolution via agent-based modelling" in 18th Annual Meeting of the Bioinformatics Italian Society, June 27-29, Verona, Italy.

Talks

Evaluating the Effect of Input Features on Deep Learning Models for Blood Glucose Forecasting

July 14, 2025

Talk at 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society – EMBC, Copenhagen, Denmark

Leveraging T1DEXI Study to Develop Deep Learning Models for Predicting Blood Glucose Levels

March 19, 2025

Talk at 18th International Conference on Advanced Technology & Treatment for Diabetes – ATTD, Amsterdam, Netherlands

Andrea Calzavara

CV