e/MTIC Duo sesson presenters

e/MTIC Conference 2022

Fast track to clinical innovation: the essentials

22 September 2022 @ 09:00-16:30 , Muziekgebouw Eindhoven

Ymke de Jong

Data & AI Partnerships Lead
and Clinical Data Scientist at Philips

Ymke is working as a data science professional in the Philips global data&AI Center of Excellence at Royal Philips with a current focus on data sharing and data&AI partnerships. Her mission is to connect the academic cutting-edge technologies to the practical challenges in healthcare we are facing right now. Seeing data-driven solutions actually have an impact and meet and exceed expectations gives her energy. Ymke has a background as a biomedical engineer and has experience in clinical, insurance and data architecture field. Within e/MTIC Ymke is leading the bench to bedside initiative where we bring AI algorithms from bench (research) to the bedside (clinical practice).

Merel van Gilst
Postdoc researcher at TU/e
and Kempenhaeghe Epilepsy and
Sleep Center

Merel van Gilst is a neuroscientist and somnologist (expert in sleep research). After her education in Cognitive Artificial Intelligence and Neuroscience, she obtained her PhD in sleep and sleep disorders in Parkinson’s disease. Currently, she is a senior researcher in the Electrical Engineering department’s Biomedical Diagnostics lab where she works on representations of sleep for clinical applications. She is also affiliated with Sleep Medicine Center Kempenhaeghe, where she has set up a large-scale data collection program called SOMNIA. With this and other projects, she gained ample experience in collecting and sharing clinical data to enable technological innovation.

Ruud van Sloun

Professor TU/e and Kickstart
AI Fellow / Senior Scientist Philips Research

Ruud van Sloun (Member, IEEE) received the BSc. and MSc. degrees (cum laude) in Electrical engineering and the PhD degree (cum laude) from the TU/e in 2012, 2014, and 2018. Since then, he has been an Assistant Professor with the TU/e Department of Electrical Engineering and since January 2020 a Kickstart-AI fellow at Philips Research Eindhoven. From 2019-2020 he was a visiting Professor with the Department of Mathematics and Computer Science at the Weizmann Institute of Science, Rehovot, Israel. He is an NWO Rubicon laureate and received a Google Faculty Research Award in 2020. Current research interests include AI and deep learning for signal processing and imaging, model-based deep learning, compressed sensing, ultrasound imaging, and probabilistic signal and image analysis.

Carola van Pul

Medical physicist at Máxima MC
and Associate professor applied physics at TU/e Centre at the
University of Twente

Carola van Pul is a clinical physicist in Maxima Medical Center since 2006, with expertise in clinical physics for radiology, radiation protection, and (neonatal) intensive care equipment and medical alarm systems. Carola is involved in all medical equipment procurement processes and safe introduction of this equipment in the hospital. Carola obtained her MSc in Applied Physics at Delft University of Technology, followed by a PhD in MRI physics on the subject of Diffusion Tensor Imaging for the neonatal brain, at TU/e. Carola’s research focused in the last years mainly on medical technology applications and machine learning techniques to improve patient monitoring and safety, particularly for neonatal intensive care patients.

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e/MTIC Duo sesson presenters

e/MTIC Conference 2022

Fast track to clinical innovation: the essentials

e/MTIC Conference - Fast track to clinical innovation: the essentials