Short Bio
Erica Tavazzi is a post-doctoral researcher at the Department of Information Engineering of the University of Padova.
Her scientific activity is in the health informatics domain and is mainly devoted to the development of computational models of disease progression on dynamic clinical data.
She's currently involved as key researcher in several international and local projects aimed at modeling the progression of neurodegenerative diseases by employing machine learning and data mining techniques.
Academic Degree
PhD in Information Engineering at the Department of Information Engineering, University of Padova, Italy
Obtained on March 9, 2021
Thesis title: Exploiting the Temporal Dimension in Clinical Data Mining
Advisor: Prof. Barbara Di Camillo
Master's Degree in Biomedical Engineering at the Department of Information Engineering, University of Padova, Italy
Obtained on September 11, 2017
Thesis title: Risk stratification in Amyotrophic Lateral Sclerosis patients using Random Survival Forests
Advisor: Prof. Barbara Di Camillo
Bachelor's degree in Information Engineering at the Department of Information Engineering, University of Padova, Italy
Obtained on July 22, 2014
Thesis title: Subjective evaluation of a near-field filter model for binaural perception of relative distance between virtual sound sources
Advisor: Prof. Federico Avanzini
Appointments
Post-doctoral research fellow
at the Department of Information Engineering, University of Padova, Italy
Jan 2022 - Present
Italian B junior research grant in support of innovative and excellent research projects proposed by young independent scholars
Individual research program: "PROMISE - PROcess MIning based modeling of multiple Sclerosis Evolution"
Supervisor: Prof. Barbara Di Camillo
Term-contract research assistant
at the Department of Information Engineering, University of Padova, Italy
May 2022 - Aug 2022
Research program: "Development and application of Process Mining methodologies on Amyotrophic Lateral
Sclerosis clinical data"
Supervisor: Prof. Barbara Di Camillo
Post-doctoral research fellow
at the Department of Information Engineering, University of Padova, Italy
Oct 2020 - Dec 2021
Research program: "Modeling Amyotrophic Lateral Sclerosis progression"
Supervisor: Prof. Barbara Di Camillo
Ph.D. Student in Information Engineering, Information & Communication Technologies curriculum
at the Department of Information Engineering, University of Padova, Italy
Oct 2017 - Sep 2020
Ph.D. project: "Exploiting the Temporal Dimension in Clinical Data Mining"
Supervisor: Prof. Barbara Di Camillo
Research assistant
at the Department of Oncology, Analytic Personalized Oncology division, Centre Hospitalier Universitaire Vaudois (CHUV) of Lausanne, Switzerland
Oct 2019 - Mar 2020
International research experience as part of my PhD program
Research project: "Process mining approaches to advanced melanoma treatments"
Supervisors: Prof. MD. Olivier Michielin and Prof. Michel A. Cuendet
Research fellow
at the Department of Information Engineering, University of Padova, Italy
Jan 2018 - Dec 2019
Research project: "Machine Learning in healthcare following a Value-Based strategy"
Supervisor: Prof. Barbara Di Camillo
Teaching
at the Department of Information Engineering, University of Padova, Padova, Italy
Selected Publications
"Predicting functional impairment trajectories in amyotrophic lateral sclerosis: a probabilistic, multifactorial model of disease progression"
Journal of Neurology (2022): 1-21
DOI: 10.1007/s00415-022-11022-0
Ghisoni E, Wicky AM, Bouchaab H, Imbimbo M, Delyon J, Gautron Moura B, Gérard CL, Latifyan S, Özdemir BC, Caikovski M, Pradervand S, Tavazzi E, Gatta R, Marandino L, Valabrega G, Aglietta M, Obeid M, Homicsko K, Mederos-Alfonso NN , Zimmermann S, Coukos G, Peters S, Cuendet MA, Di Maio M, and Michielin O.
"Late-onset and long-lasting immune-related adverse events from immune checkpoint-inhibitors: An overlooked aspect in immunotherapy"
European Journal of Cancer (2021): 149: 153-164
DOI: 10.1016/j.ejca.2021.03.010
Gatta R, Vallati M, Fernandez-Llatas C, Martinez-Millana A, Orini S, Sacchi L, Lenkowicz J, Marcos M, Munoz-Gama J, Cuendet M, De Bari B, Marco-Ruiz L, Stefanini A, Valero-Ramon Z, Michielin O, Lapinskas T, Montvila A, Martin N, Tavazzi E, and Castellano M.
"What Role can Process Mining play in recurrent Clinical Guidelines issues? A Position Paper"
International Journal of Environmental Research and Public Health (2020): 17(18), 6616
DOI: 10.3390/ijerph17186616
Tavazzi E, Daberdaku S, Vasta R, Calvo A, Chiò A, and Di Camillo B.
"Exploiting mutual information for the imputation of static and dynamic mixed-type clinical data with an adaptive k-nearest neighbours approach"
BMC Medical Informatics and Decision Making (2020): 20(suppl.5), 174
DOI: 10.1186/s12911-020-01166-2
Daberdaku S, Tavazzi E, and Di Camillo B.
"A Combined Interpolation and Weighted K-Nearest Neighbours Approach for the Imputation of Longitudinal ICU Laboratory Data"
Journal of Healthcare Informatics Research (2020): 1-15
DOI: 10.1007/s41666-020-00069-1
Comoretto RI, Gasparetto T, Tavazzi E, and Gregori D.
"Towards Value-Based Healthcare and the Role of Regional Agencies: the Approach of the Veneto Region"
Epidemiology, Biostatistics and Public Health. 2019 Jun 21;16(2) (2020): 1-15
DOI: 10.2427/13130
Spagnol S, Tavazzi E, and Avanzini F.
"Distance rendering and perception of nearby virtual sound sources with a near-field filter model"
Applied Acoustics (2017) 115: 61-73
DOI: 10.1016/j.apacoust.2016.08.015
The complete list of publications is available on Google Scholar
Last update: 25-August-2022