Talented engineer with the goal of combining multiple disciplines to create cutting-edge products. Leverages data analysis and advanced knowledge in the biomedical field to continuously optimize and innovate designs. Likes to maintain collaborative relationships with supervisors and colleagues. Well-developed analytical and problem-solving skills.
Overview
1
1
Certification
Work History
Clinical Engineering Intern
Institute Of Sant'Anna In Pisa And Institut Claude-Pompidou In Nice (CobTek)
02.2023 - 07.2023
Thesis work and internship in collaboration with Superior Institute of Sant'Anna in Pisa and the Institut Claude-Pompidou in Nice.
Implementation of a graphical user interface in PyCharm and a clinical protocol for IMU sensor acquisition applied to subjects with neurodegenerative diseases such as Alzheimer's syndrome.
The aim was to have subjects perform Reach to Grasp motor tasks in social and individual contexts, performing signal processing in order to study the various stages of the disease, perform movement analysis, and validate new prevention and rehabilitation techniques.
Selected Projects
University Of Florence
Bioimaging - Bone tissue segmentation from CT images (Ap 2022 - Jun 2022, In collaboration with the Careggi Hospital Medical Company in Florence): Development on Spyder software of a neural network algorithm (2D U-NET) that from volumes acquired by CT technique segments the bone part by returning binary images (Teamwork).
Biomechatronics - Application development with STM32 microcontroller (Feb 2022 - May 2022): Programming an STM32 microcontroller in order to create applications such as data loggers, real-time signal processing, connectivity, etc (Teamwork).
BIOENGINEERING FOR NEUROSCIENCE - EYE GAZE AND PUPILLOMETRY ANALYSIS (May 2022 - Dec 2022): Analysis of Eye Gaze and Pupillometry in Matlab, using nonparametric statistical tests such as Kruskal-Wallis, on metrics extracted from Eye Tracking data (Teamwork).
Protocol for the validation of the Vacuum Bell medical device (Jun 2021 - Apr 2021 in collaboration with Meyer Children's Hospital): Three-year thesis work (bachelor's degree) aimed at providing a protocol for the validation and use of the Vacuum Bell device through testing on pediatric subjects with Pectus Excavatum pathology and through the use of statistical tests
Education
Master Degree In Biomedical Engineering -
University of Florence
Florence
04.2024
Bachelor of Science - Mechanical Engineering
University of Florence
Florence
04.2021
High School Qualification In Scientific Studies -
I.S.I.S Gobetti-Volta
Florence
06.2016
Skills
Flexibility and Responsibility
Relations with physicians
Clinical data management
Project planning
Problem solving and Test Development
Team working
Good Communication and Organizational Skills
Self Motivation and Decisiveness
Languages
English
Upper intermediate (B2)
Spanish
Upper intermediate (B2)
Italian
Bilingual or Proficient (C2)
French
Elementary (A2)
Certification
Safety General training for workers
English course: Erasmus/Academic English B2/C1 at the University of Florence
Additional Information
Driving License
Hard Skills
Microsoft Excel and Microsoft Office
SolidWorks
LT-Spice for electronic circuit analysis
Python (Spyder and PyCharm)
ROS and Simulink for Biomedical Robotics
IAR for Biomechatronics
Matlab
AutoCAD
Data analysis
Signal processing
Statistical analysis
Application programming interface
PRIVACY POLICY
I give consent to process my data with the purpose of the recruitment process, in accordance to the Regulation of the European Parliament 679/2016, regarding the protection of natural persons and free movement of such data.
Timeline
Clinical Engineering Intern
Institute Of Sant'Anna In Pisa And Institut Claude-Pompidou In Nice (CobTek)
02.2023 - 07.2023
Selected Projects
University Of Florence
Master Degree In Biomedical Engineering -
University of Florence
Bachelor of Science - Mechanical Engineering
University of Florence
High School Qualification In Scientific Studies -
I.S.I.S Gobetti-Volta
Safety General training for workers
English course: Erasmus/Academic English B2/C1 at the University of Florence
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