SP CHUV-EPFL Computational Medical Imaging & Machine Learning Section
Elda Fischi-Gomez holds a BSc and a MSc degree in Telecommunication Engineering from the Polytechnic University of Catalonia (UPC, Spain) and a PhD in Electrical Engineering from the Swiss Federal Institute of Technology (EPFL, Switzerland, 2015). Supported by a SNFS Early-Postdoc grant for prospective researchers [SNF-P2ELP2_172286], she carried her research on advanced dMRI schemes at the A.A. Martinos Center of Biomedical Imaging of the Massachusetts General Hospital, Harvard Medical School (Boston, MA, USA). During this fellowship at Prof. Setsompop’s laboratory, she combined high-resolution dMRI acquisitions (using parallel imaging, simultaneous-multislice-acquisitions and super-resolutions techniques) with advanced microstructural MRI models. Following up on the above findings she was awarded as PI with an individual grant of the Strategic Focal Area “Personalized Health and Related Technologies (SPN-PHRT)” from the EPFL-ETH domain on microstructure imaging for multiple sclerosis [PHRT-2018-425]. Jointly at the Translational Imaging in Neurology Laboratory (University of Basel, Basel) and EPFL, she developed new specific biomarkers of myelin/axonal damage based in dMRI and T2-relaxometry, to provide new knowledge about the contribution of axonal demyelination and degeneration to MS disease and provide new specific and personalized biomarkers of myelin damage. In April 2020, she joined the Translation Machine Learning Lab working on an Innosuisse project for stroke management.
Since July 2022 she has joined the Computational Imaging and Machine Learning section of the Center for Biomedical Imaging (SP CHUV-EPFL, CIBM). Her research centers on the development and application of novel MRI techniques that optimize the inter-play between software algorithm, MR physics/hardware and the underlying neuroscience. Her research goal is to develop novel medical imaging technologies to improve our understanding of the brain development and brain changes in disease and injuries, with the ultimate objective of impacting clinical decision-making and clinical care.
Dr. Fischi-Gomez is member of the IEEE BioImaging and Signal Processing Technical Committee (BISP-TC) and the IEEE Signal Processing Society, and chair of the BISP’s Communications and Outreach subcommittee. She’s appointed reviewer for the International Society of Biomedical Imaging (ISBI), the International Societies of Magnetic Resonance in Medicine (ISMRM) as well as for the conferences under the BISP track (ICASSP and ICIP). She has been guest reviewer for high-impact journals (Medical Imaging Analysis, Neuroimage:Clinical…).