Curriculum Vitae. Personal information. Work experience

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Curriculum Vitae

Personal information

Surname / First name

Stefano Baraldo

Email(s) [email protected] Nationality(-ies) Italian

Date of birth 7 May 1985

Work experience

Dates September 2013 - Present

Employer Cavanna s.p.a., via Matteotti 104, 28077 Prato Sesia (NO), Italy Position Research and development employee

Description Research and development of technical solutions for packaging machines. Dates May 2013 - August 2013

Employer MOXOFF s.r.l., via D’Ovidio 3, 20131 Milano, Italy Position Project collaborator

Description Research and study of algorithms for pick and place machines programming in secondary pack-aging.

Dates July 2013 - November 2013

Employer INRIA, Université Rennes I, IRISA, Campus de Beaulieu, 35042 Rennes Cedex Position Research collaborator

Description Visiting period at research unit VisAGeS for a collaboration aimed at developing advanced meth-ods for improving signal estimation in diffusion MRI.

Dates March 2012 - June 2012

Employer Politecnico di Milano, piazza Leonardo Da Vinci 32, 20133 Milano, Italy Position Teaching assistant

Description Teaching at exercise sessions and laboratory for the course Statistics (in english) for Mechanical Engineering, run by prof. Alessandra Guglielmi.

Teaching at laboratory lessons, preparation of teaching material for the course Statistica, run by prof. Anna Maria Paganoni.

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Description Teaching at exercise sessions and laboratory for the course Statistica for Mechanical Engineer-ing, run by prof. Alessandra Guglielmi.

Translation in English of teaching material for the course Statistics (in English) for Mechanical Engineering, run by prof. Alessandra Guglielmi.

Tutoring for laboratory activities for the course Statistica for Energy Engineering, run by prof. Matteo Probo Gregoratti.

Description Tutoring for laboratory activities and translation in English of teaching material for the course Statistics (in English) for Mechanical Engineering, run by prof. Alessandra Guglielmi.

Tutoring for laboratory activities for the course Statistica for Mathematical Engineering, run by prof. Anna Maria Paganoni.

Education and training

Dates 2010–2013

Name of institution Politecnico di Milano, piazza Leonardo Da Vinci 32, 20133 Milano, Italy.

Title awarded Doctor of Philosophy (PhD) in Mathematical Models and Methods in Engineering

Grade Diploma with merit. Awarded certificationDoctor Europaeus.

Title of Thesis “Statistical models and methods for complex clinical data”. Advisor prof. Anna Maria Paganoni. Dates 2007–2009

Title awarded Master’s Degree in Mathematical Engineering, Specialization in Scientific Computing and Statistics.

Grade 104/110

Title of Thesis “Modelli statistici per processi di conteggio. Teoria e applicazioni nella telesorveglianza cardi-ologica” (“Statistical models for counting processes. Theory and applications in heart failure telemonitoring”, in Italian). Advisor prof. Anna Maria Paganoni.

Dates 2004–2007

Title awarded Bachelor’s Degree in Mathematical Engineering, Specialization in Scientific Computing. Grade 100/110

Title of Thesis “Sistemi di urne interagenti e teoria dei valori estremi applicati alla modellizzazione della crescita tumorale: teoria e simulazioni” (“Interacting urns systems and extreme values theory applied to tumor growth modeling: theory and simulations”, in Italian), co-authored with Laura Azzimonti. Advisor prof. Anna Maria Paganoni.

Dates 1999–2004

Name of institution Liceo Classico Statale Carlo Alberto, Baluardo La Marmora 8/c, 28100 Novara, Italy Title awarded Maturità Classica(high school diploma).

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Synthesis of research interests

- design and programming of pick-and-place machines for secondary packaging;

- statistical modeling of counting processes, functional data analysis (see publications [2010a], [2010b], [2011a], [2012c] and [2013c]);

- statistical applications for health care management, evaluation and optimization of heart failure telemonitoring programs, integration of clinical and administrative data for health care assess-ment (see publications [2013b] and [2013c]);

- design of experiment optimization in diffusion MRI, likelihood and bayesian methods for param-eter estimation (see publications [2011b], [2012a], [2012b] and [2013a]).

Publications

2013 [2013c] S. Baraldo, F. Ieva, A.M. Paganoni, V. Vitelli

“Outcome prediction for heart failure telemonitoring via generalized linear models with func-tional covariates”, Scandinavian Journal of Statistics, 40(3): 403-416, doi: 10.1111/j.1467-9469.2012.00818.x.

[2013b] A. Giordano, S. Scalvini, A. M. Paganoni, S. Baraldo, M. Frigerio, C. Vittori, G. Borghi, M. Marzegalli and O. Agostoni

“Home-based tele surveillance program me in patients with heart failure: effects on clinical status and implications for one-year prognosis. The experience of Lombardy region with "Nuove Reti Sanitarie”,Telemedicine and eHealth, 19(8): 605-612, doi: 10.1089/tmj.2012.0250.

[2013a] S. Baraldo, F. Ieva, L. Mainardi and A.M. Paganoni

“Estimation approaches for the Apparent Diffusion Coefficient in Rice-distributed MR signals”, in Grigoletto M., Lisi F. and Petrone S. (eds.),Complex Models and Computational Methods in Statistics, Springer (2013). doi: 10.1007978-88-470-2871-5_1.

[2012c] S. Baraldo

“Integration of clinical and administrative longitudinal data for the selection of patients in home telemonitoring for heart failure”

Proceedings of the Joint Meeting of Young Business and Industrial Statisticians and jSPE, Uni-versidade Nova de Lisboa, Lisbon, Portugal, July 23-26, 2012

[2012b] S. Baraldo, F. Ieva, L. Mainardi, A.M. Paganoni:

“Experimental design for the estimation of Rician-distributed intensity fields in MRI”

Proceedings of the 46th Scientific Meeting of the Italian Statistical Society 2012, Roma, June 20-22, 2012.

[2012a] S. Baraldo, F. Ieva, L. Mainardi, A.M. Paganoni:

“Estimation approaches for the Apparent Diffusion Coefficient in Rice-distributed MR signals” Quaderno di Dipartimento (QDD) 121, Department of Mathematics “F. Brioschi”, Politecnico di Milano, available athttp://www1.mate.polimi.it/biblioteca/qddview.php? id=1452&L=i. To appear on a book based on conference SCo2011.

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“Adaptive design of experiment for the estimation of apparent diffusion coefficients in MRI” Proceedings of the 7th Conference on Statistical Computation and Complex Systems (SCo 2011), Padova, September 19-21, 2011.

[2011a] S. Baraldo, F. Ieva, A. M. Paganoni, V. Vitelli

“Generalized functional linear models for hazard functions of stochastic counting processes: an application to heart failure patients”

Proceedings of the Applied Stochastic Models and Data Analysis (ASMDA) Conference 2011, Roma, June 7-10, 2011.

2010 [2010b] S. Baraldo, F. Ieva, A. M. Paganoni, V. Vitelli:

“Generalized functional linear models for recurrent events: an application to re-admission pro-cesses in heart failure patients”

MOX report 42/2010, available at http://mox.polimi.it/it/progetti/ pubblicazioni/quaderni/42-2010.pdf

[2010a] S. Baraldo, F. Ieva, A.M. Paganoni, V. Vitelli:

“Statistical models for hazard functions: a case study of hospitalizations in health failure tele-monitoring”

Proceedings of the 45th Scientific Meeting of the Italian Statistical Society 2010, Padova, June 16-18, 2010.

Attended courses

2013 Corso Base di Sicurezza, Manutenzione e Programmazione Robots FANUC, FANUC

Robotics Italia S.r.l..

2012 Nonparametric Inference, prof. Anna Maria Paganoni, Politecnico di Milano, mark: A.

The elements of statistical learning, prof. Piercesare Secchi, prof. Anna Maria Paganoni, Politecnico di Milano, mark: A.

2011 Robust methods for advanced data structures - IASC 2011 Leuven, prof. Peter Rousseuw, prof. Mia Hubert, Katholieke Universiteit Leuven, prof. Stefan Van Aelst, Ghent University, prof. Hannu Oja, University of Tampere

Introduction to Bayesian Statistics, prof. Eugenio Regazzini, Università di Pavia.

Stochastic Partial Differential Equations, prof. Marco Fuhrman, Politecnico di Milano. 2010 Introduction to Differential Geometry, prof. Irene Sabadini, prof. Enrico Schlesinger,

Politec-nico di Milano.

Soft Computing, prof. Andrea Bonarini, prof. Matteo Matteucci, Politecnico di Milano, mark: A.

Bayesian Machine Learning with Biomedical Applications - ABS10 Bolzano, prof. David Dunson, Duke University Durham, prof. Fabrizio Ruggeri, CNR, IMATI, Milano, mark: A.

Advanced Programming Techniques, prof. Luca Formaggia, Politecnico di Milano, mark: A.

Computational Methods for Statistics, prof Anna Maria Paganoni, prof. Fabio Nobile, Politec-nico di Milano, mark: A.

Stochastic Differential Equations and Applications, prof. Franco Fagnola, Politecnico di Mi-lano, prof. Vincenzo Capasso, Università degli Studi di MiMi-lano, , mark: A.

Hybridizable Discontinuos Galerkin Methods, prof. Riccardo Sacco, Department of Mathe-matics, Politecnico di Milano.

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Participation to schools, workshops and conferences

2013* 8th Conference on Statistical Computation and Complex Systems (SCo 2013)

Politecnico di Milano, Milano, Italy, September 9-12, 2013

Poster: “Noncentral chi estimation for diffusion magnetic resonance imaging”

2012* Joint Meeting of Young Business and Industrial Statisticians and jSPE

Universidade Nova de Lisboa, Lisbon, Portugal, July 23-26, 2012

Invited talk: “Integration of clinical and administrative longitudinal data for the selection of patients in home telemonitoring for heart failure”

* 46th Scientific Meeting of the Italian Statistical Society 2012

Università “La Sapienza”, Roma, Italy, June 20-22, 2012

Talk: “Experimental design for the estimation of Rician-distributed intensity fields in MRI”

2011* 7th Conference on Statistical Computation and Complex Systems (SCo 2011)

Università di Padova, Padova, September 19-21, 2011

Talk: “Adaptive design of experiment for the estimation of apparent diffusion coefficients in MRI”

* IASC 2011, Robust methods for advanced data structures

Katholieke Universiteit Leuven, Belgium, September 6-9, 2011.

Talk: “Generalized linear models with functional covariates for recurrent events: an application to re-admission processes in heart failure patients”

* Applied Stochastic Models and Data Analysis (ASMDA Conference 2011)

Università La Sapienza, Roma, Italy, June 17-10, 2011

Talk: “Generalized functional linear models for hazard functions of stochastic counting pro-cesses: an application to heart failure patients”

* La Qualità del Fascicolo Sanitario Elettronico Personale

Politecnico di Milano, Milano, Italy, February 17-18, 2011

Poster: “Analysis of Hospitalization Processes for Heart Failure Patients”

RS2CP, Reduction Strategies for the Simulation of Complex Problems

Politecnico di Milano, Milano, Italy, January 19-21, 2011

2010 Al termine di TELEMACO... riflessioni a margine dell’esperienza svolta

Politecnico di Milano, Milano, Italy, November 12, 2010

Contribution to the work presented by Dott. Amerigo Giordano and Prof. Anna Maria Paganoni “Integrazione tra registri di patologia e database amministrativi per la valutazione dei Percorsi di Telesorveglianza Domiciliare in pazienti affetti da scompenso cardiaco”

* 45th Scientific Meeting of the Italian Statistical Society 2010

Università di Padova, Padova, Italy, June 16-18, 2010

Talk: “Statistical models for hazard functions: a case study of hospitalizations in health failure telemonitoring”

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* ABS-2010, Applied Bayesian Statistics School on Bayesian Machine Learning with Biomedical Applications

EURAC, Bolzano (Bozen), Italy, June 10-15, 2010.

Talk: “Statistical models for hazard functions: a case study of hospitalizations in health failure telemonitoring”

* The asterisk signs events in which a presentation has been held.

Scientific, management and other academic activities activities

June 2012 Tutoring for Bachelor’s Degree thesis

Title: “Stima per il coefficiente apparente di diffusione in risonanza magnetica” Candidate: Alessia Mirto, advisor prof. Anna Maria Paganoni

September 2011 Tutoring for Bachelor’s Degree thesis Title: “Regressione dei quantili”

Candidate: Federico Ringhini, advisor prof. Anna Maria Paganoni

2010 - 2011 Co-responsible of statistical analyses for the “Nuove Reti Sanitarie - PTS” project for heart failure home telemonitoring, supported by Regione Lombardia.

Memberships and affiliations

2010–2013 MOX – Laboratory for Modeling and Scientific Computing, Dipartimento di Matematica, Politec-nico di Milano;

2010–2012 GNAMPA Gruppo Nazionale per l’Analisi Matematica, la Probabilità e le loro Applicazioni, Istituto Nazionale di Alta Matematica Francesco Severi.

Personal skills

First language Italian

Other known languages English. Reading: excellent; writing: good; listening comprehension: good

Certificates TOEFL computer-based (273/300), First Certificate Grade B, Trinity GESE Grade 10 (C1)

Computer and programming skills

Computer and programming skills Extensive knowledge of the statistical software and programming language R. Training in programming of FANUC robots.

Good C++, Java, Matlab, FreeFem++, Latex programming skills.

Proficient user of Mac OSX and Windows XP, Windows Vista, Windows 7. Basic knowledge of command-line Unix.

Proficient user of the Microsoft Office suite. Basic knowledge of Python, HTML.