Zoë Van Noppen has a diverse work experience starting with their role as a machine learning engineer at dataroots in 2022. In this position, they contribute to various projects across industries. Prior to this, they worked as a biomedical signal processing engineer at Bloomlife Inc from 2021 to 2022, where they developed algorithms for a medical device related to pregnancy monitoring. Zoë'sresponsibilities included developing screening algorithms using Matlab and analyzing clinical data with Python and Google Cloud Platform.
Before joining Bloomlife Inc, Zoë worked as a signal engineer at Swimtraxx from 2019 to 2021. In this role, they focused on activity recognition in swimming by utilizing machine learning and signal processing techniques. Zoë used Python and libraries such as Numpy, Scikit-learn, Tensorflow, and Matplotlib for model development.
In 2018, Zoë gained experience as a summer engineering intern at Johns Hopkins Medicine. Zoë conducted research at the gastroenterology group, specifically working on a closed-loop stimulation device for bowel disease patients. Zoë'sresponsibilities included setting up animal experiments, applying signal processing techniques, and improving signal-to-noise ratio.
Zoë also has prior experience as a job student at Materialise, a leading 3D printing company, in 2017. Here, they updated course materials for educating clinicians and researchers. Additionally, they worked as a job student at ICI PARIS XL in 2013 and 2012.
Overall, Zoë Van Noppen has built a strong foundation with their work experience in machine learning engineering, biomedical signal processing, algorithm development, and signal engineering.
Zoë Van Noppen completed a Master's degree in Biomedical Engineering at KU Leuven from 2017 to 2019. Prior to that, they obtained a Bachelor of Engineering (B.E.) in Electrical and Electronic Engineering from KU Leuven, which they completed from 2014 to 2017. In addition to their formal education, Zoë also holds several certifications, including the Google Project Management Certificate obtained in April 2022, the Deeplearning.ai TensorFlow Developer Certificate obtained in October 2021, the TensorFlow Developer Certificate obtained in January 2022, the Academy Accreditation - Databricks Lakehouse Fundamentals obtained in July 2023, and the Microsoft Certified: Azure Data Scientist Associate obtained in May 2023.
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