Valeria Galli
About
Biomedical Engineer | Wearable Sensing, Signal Processing & ML | Regulated Medical Device Software
I enjoy translating complex clinical problems into robust computational solutions. My background combines biomedical engineering, software development, and scientific computing to build technologies that have a tangible impact on patient care. Over the past 6+ years, I've developed healthcare technologies from concept and prototyping through validation and computational analysis, including designing and leading human studies ranging from early-stage pilots to a 70-person field validation. My experience spans regulated medical software, computational modelling, and cross-functional collaboration across academia and MedTech. I'm particularly interested in developing computational healthcare software that starts with a real clinical need and ends with something people actually use.
Skills
Biomedical Electronics
Biomedical Engineering
Electrical Testing
Github
Mechanical Testing
Medical Technology
Medtech
NumPy
Python
Pandas
Rapid Prototyping
SciPy
Scikit-Learn
Software Testing
Wearable Technology
Open for
fulltime
parttime
Work Experience
FEops | H2020 European Project "Personalized in Silico Cardiology"
2019-06 - 2021-07
R&D Engineer | Early Stage Researcher
Other
fulltime
• Clinical software: co-developed commercial software for patient-specific pulmonary valve planning (CT-based finite element workflows) • Clinical data science: developed ML models combining simulation-derived and multicentre clinical data • Industry collaboration: collaborated with clinicians and major heart valve manufacturers in the development of regulated clinical software.
ETH Zurich
2021-09 - 2026-03
Doctoral Researcher
Zürich
fulltime
• End-to-end prototype development: designed, fabricated and refined e-textiles wearable systems • Experimental evaluation: designed and led 5+ human studies (N=70+), ethics applications, protocol design and multimodal data acquisition • Computational engineering: developed signal processing and ML algorithms for wearable sensing and movement analysis • Technical leadership: supervised 7 BSc/MSc students, taught across 3 courses and managed laboratory infrastructure • Project coordination: defined project scope, coordinated external prototype fabrication and monitored budget and delivery
Academic Experience
ETH Zurich -
2021.09 - 2025.12
Doctorate, Dr. in Biomedical Engineering
Politecnico di Milano -
2016.10 - 2019.04
Master of Science, MSc in Biomedical Engineering - Biomechanics and Biomaterials
Politecnico di Milano -
2013.09 - 2016.07
Bachelor of Science, BSc in Biomedical Engineering