Davide Marzorati
Post-Doc Researcher at Scuola universitaria professionale della Svizzera italiana (SUPSI)
Lombardy, Italy
Summary
👤
Senior🎓
Top SchoolDavide Marzorati is a biomedical engineer and post-doc researcher with nine years of experience bridging academic research and industry-focused MedTech projects. He leads applied research at SUPSI as a project manager and investigator, developing AI algorithms for stress detection from wearable data and preparing IRB submissions for clinical studies. His background includes a PhD from Politecnico di Milano, hands-on work in embedded medical devices and signal/image processing, and a track record managing R&D efforts to bring automatic readers and multiparametric rapid tests toward feasibility and regulatory readiness. Fluent in Python, C, MATLAB and familiar with ARM microcontrollers, he combines deep technical skills with practical project management and regulatory know-how. He’s actively expanding his clinical trial and business skills through GCP and Innosuisse courses, reflecting a pragmatic drive to translate research into deployable healthcare solutions.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science, Biomedical Engineering, 103/110, Bachelor of Science, Biomedical Engineering, 103/110 at Politecnico di MilanoMaster of Science, Bioengineering, Master of Science, Bioengineering at University of Illinois at ChicagoHigh School Scientific Degree, Bilingue track (English and Spanish), 96/100, High School Scientific Degree, Bilingue track (English and Spanish), 96/100 at Liceo Scientifico Paolo Giovio
Italian, English, Spanish
Github Skills (24)
feature-extraction9
wearable-devices9
unet-image-segmentation9
wearable-sensors8
linux-mint8
openbci7
medical7
psoc6
segmentation6
volumes6
ubuntu6
data-visualization5
medical-imaging5
computer-vision5
pytorch4
Programming languages (3)
Github contributions (5)
dado93/pywearable
Mar 2023 - Sep 2024
Python package for extraction, visualization, and analysis of physiological data collected through wearable sensors.
Contributions:10 reviews, 34 PRs, 185 pushes in 1 year 6 months
data-visualizationfeature-extractionwearable-deviceswearable-sensors
ltebs-polimi/PSoC-Example-Projects
Mar 2019 - Feb 2020
This repository contains some example projects that I created using a PSoC 5LP
Contributions:49 commits, 2 PRs, 53 pushes in 10 months
psocexample-projects
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