Marco Monaro

Marco Monaro

Diabetes Clinical Engineer

Followers of Marco Monaro463 followers
location of Marco MonaroGreater Padova (Padua) Metropolitan Area

Connect with Marco Monaro to Send Message

Connect

Connect with Marco Monaro to Send Message

Connect
  • Timeline

  • About me

    Field Technical Engineer

  • Education

    • Università degli Studi di Padova

      2011 - 2013
      Master of Science (MSc) Bioingeneria

      Dipartimento di Ingegneria Dell'Informazione.Thesis Title: "Fault Detection in Type-1 Diabetic Patients Wearing a Glucose Sensor and an Insulin Pump"

    • Università degli Studi di Padova

      2007 - 2011
      Bachelor of Science (BSc) Ingegneria Biomedica

      Dipartimento di Ingegneria Dell'Informazione. Tesi di Laurea: "L'Ingegneria Tissutale per la Produzione di Tessuto Tendineo e Legamentoso"Thesis Title: "Tissue Engineering: The Production of Tendon and Ligament Tissue"

  • Experience

    • University of Padova

      Dec 2013 - Dec 2014
      Diabetes Clinical Engineer

      Vincitore del progetto di ricerca "METODI PER LA FAULT DETECTION IN UN PANCREAS ARTIFICIALE: Sistema Composto Da Un Sensore Glicemico Sottocutaneo, Un Microinfusore D’insulina E Uno Smartphone Con Installati Gli Algoritmi Per Il Controllo Automatico Della Glicemia Di Un Paziente Diabetico Tipo I"

    • Abbott

      Dec 2014 - Oct 2023

      Ingegnere biomedico in ambito cardiologico.Gestione tecnica dell'operazione d'impianto dei prodotti (Pacemakers e Defibrillatori) in sala operatoria.Controllo e troubleshooting dei prodotti, in ambulatorio.

      • Professional Field Technical Engineer - Cardiac Electrophysiology

        Sept 2019 - Oct 2023
      • Senior Field Technical Engineer - Cardiac Electrostimulation

        Jan 2018 - Sept 2019
      • Field Technical Engineer - Cardiac Rhythm Management

        Dec 2014 - Dec 2017
    • Roche

      Apr 2023 - now
      Account Manager
  • Licenses & Certifications

    • Online Course,Algorithms: Design and Analysis Part1. The course covered asymptotic analysis, divide and conquer algorithms, sorting and searching, basic randomized algorithms, graph search, shortest paths, heaps, search trees, and hash tables.

      Www.coursera.org - Tim Roughgarden, Associate Professor Of Computer Science - Stanford University
      Mar 2013
    • Online Course, Algorithms: Design and Analysis Part2. The course covered greedy algorithms; dynamic programming; exact and approximation algorithms for NP-complete problems.

      Www.coursera.org - Tim Roughgarden, Associate Professor Of Computer Science - Stanford University
      Feb 2013
    • Nanostim Training Certification

      St. Jude Medical
      Sept 2016