The innovative training network FBI fosters education of Early Stage Researchers (ESR) on an emerging, multimodal imaging platform and its translation into clinical and biological applications. In FBI, the following 15 PhD students are trained at world-leading European academic institutions and companies, thus forming strong interdisciplinary relations between industry, technical sciences and clinical end-users.
ESR 5: Zak Ali , Doctoral Candidate at the Technical University of Munich
Zak Ali completed his Bachelor’s degree specializing in the field of Optoelectronics at the University of Auckland, NZ. Following undergraduate study, he worked as a medical devices engineer at Fisher and Paykel Healthcare Ltd, NZ focusing in the respiratory humidification sector. Having gained 3 years of work experience, he decided to return to academia by commencing the Integrated Photonic and Electronic System Masters program at the University of Cambridge, UK. Subsequently, he finished a mini-project characterizing bio-optical detectors at University College London, UK. He is currently working towards the development of a multi modal biophotonic imaging endoscope for early disease detection of esophageal cancer at the Technical University of Munich and Helmholtz Zentrum Munich.
ESR 11: Roger Fonollà Navarro , Doctoral Candidate at Eindhoven University of Technology (TU/e)
Roger holds a Bachelor’s degree in Audiovisual System’s Engineering from Universitat Pompeu Fabra (Barcelona). For his bachelor’s thesis he collaborated with Computational Imaging & Simulation Technologies in Biomedicine (CISTIB) and worked in his project in the field of Manifold Learning to better understand the hearth rhythm using Free Hand Ultrasound. Later on he successfully completed an Internship in Philips Research (Eindhoven) in the field of Mathematics applied in Health Sciences. With the acquired knowledge in 2016 he obtained a Master’s Degree in Biomedical Engineering from the Universitat of Barcelona and Universitat Politècnica de Catalunya. While pursuing the Master’s Degree, Roger did work for 3 years at Galgo Medical developing a new platform for improvement of osteoporosis and risk of bone fracture. Since 2017 he is employed in the Technological University of Eindhoven working with the most advanced Machine Learning and Deep Learning techniques to improve detection, classification and segmentation of gastrointestinal related cancer diseases.