Background image of Rolex Learning Center @ Alain Herzog / EPFL

Invited speakers

Mériam Koob

Radiology Department, Lausanne University Hospital (CHUV), Switzerland

Mariam Koob is an MD-PhD pediatric radiologist, with a subspecialty in pediatric and fetal neuroradiology. Her PhD was dedicated to the study of Diffusion Tensor Imaging (DTI) in fetal and pediatric brain normal and abnormal development, with validation of a processing method for fetal brain DTI. After working in Strasbourg university hospital, she joined the Lausanne CHUV in 2017. She is currently working with the neuroradiology team and researchers in CHUV and CIBM in developing new tools for fetal brain analysis.

Jessica Dubois

Inserm, NeuroDiderot Unit (Robert-Debré Hospital, Paris) & CEA, NeuroSpin (Gif-sur-Yvette, France)

Jessica Dubois is a neuroscience researcher at Inserm (NeuroDiderot Unit, France) in the NeuroSpin neuroimaging center (CEA, Saclay) and the Robert-Debré Children’s Hospital (Paris). She obtained an engineering degree in 2001 (Ecole Centrale Paris) and a PhD in Physics in 2006 (University Paris 11). Her researches are focused on the early development of the human brain, which she studies in premature newborns and infants with magnetic resonance imaging (e.g. anatomical, diffusion, relaxometry MRI) combined with dedicated post-processing tools. In studies of the visual and auditory modalities, she has also compared MRI markers with measures derived from electroencephalography (EEG). She has published more than 50 peer-reviewed articles (www.researcherid.com/rid/P-2461-2014).

Georg Langs

CIR, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria

Georg Langs studied Mathematics at Vienna University of Technology, and Computer Science at Graz University of Technology. He was a PostDoc at Ecole Centrale de Paris, and a Research Scientist at the Computer Science and Artificial Intelligence Lab at MIT, where he still holds a Research Affiliate Position. In 2011 he joined Medical University of Vienna as a faculty. He is director of the Computational Imaging Research Lab at the Department of Biomedical Imaging and Image-guided Therapy at Medical University of Vienna, and Co-Founder of its Spin-Off contextflow.

Meritxell Bach Cuadra

Center for BioMedical Imaging, University of Lausanne (UNIL) and Lausanne University Hospital (CHUV), Switzerland

Dr Meritxell Bach Cuadra is Senior Lecturer (Maître d’Enseignement et de Recherche) and Private Docent at the Radiology Department of the University of Lausanne and Lausanne University Hospital. She is part of the Center for BioMedical Imaging, where she will teach and develop independent researches at the interface between medical Imaging and image analysis. She leads her own research group the Medical Image Analysis Laboratory (MIAL) within the Radiology Department of the Lausanne University Hospital.

Jean-Philippe Thiran

Signal Processing Laboratory (LTS5), EPFL & Radiology Department, University of Lausanne and Lausanne University Hospital

Prof Jean-Philippe Thiran joined the Signal Processing Institute (ITS) of the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, in February 1998 as a senior lecturer. From 2004 to 2011 he was an Assistant Professor (tenure track), responsible for the image analysis group (LTS5). In a few years he has built a research team of some 20 researchers, both PhD students and post-docs, active in various areas of signal, image and multimodal data analysis. In March 2011 Dr Thiran has been promoted to Associate Professor in Signal Processing at EPFL. He also holds a 20% associate professor position with the Department of Radiology of the University Hospital Center and University of Lausanne (CHUV-UNIL). The scientific interests of Prof. Thiran include: 1) computational medical imaging: acquisition, reconstruction and analysis of imaging data, with emphasis on regularized linear inverse problems (compressed sensing, convex optimization), with applications to medical imaging: diffusion MRI, ultrasound imaging, inverse planning in radiotherapy, etc. and 2) computer vision: image and video analysis, with application to facial expression recognition, eye tracking, lip reading, industrial inspection, medical image analysis, etc.

Ruud van Heeswijk

Center for BioMedical Imaging, University of Lausanne (UNIL) and Lausanne University Hospital (CHUV), Switzerland

Ruud B. van Heeswijk is a senior lecturer (maître d’enseignement et de recherche) and Private Docent at the Center for BioMedical Imaging of the Lausanne University (UNIL) and Lausanne University Hospital (CHUV). His research focuses on cardiovascular tissue characterization with magnetic resonance imaging (MRI) in collaboration with biologists, physicists and clinicians. He has been involved in a wide range of MR-related research: he started his MR journey with an internship on phosphor spectroscopy in Eindhoven, did stem cell imaging at Johns Hopkins University in Baltimore, and contrast agent development in Eindhoven again. He then moved to Switzerland, where he worked on DNP hyperpolarization together with carbon-13 spectroscopy at the EPFL, before finding his true love in cardiovascular imaging at the CHUV. Here, he mainly focuses on preclinical and translational cardiovascular tissue characterization through techniques such as fluorine-19 MRI and parameter mapping, which led to several awards such as the prestigious Pfizer Research Prize. Meanwhile, he also secured extramural funding from the Swiss National Science Foundation as well as from several public and private foundations. These grants now support his own independent research group, which has a strong emphasis on interdisciplinary collaborations and daily interactions with medical professionals interested in MR.

Patric Hagmann

Radiology Department, Lausanne University (UNIL) and University Hospital (CHUV), Switzerland

Patric Hagmann, MD, PhD is currently attending physican in diagnostic neuroradiology at Centre Hospitalier Universitaire Vaudois (CHUV) and associate professor at University of Lausanne (UNIL). After having completed medical school at UNIL in 2000, Dr Hagmann joined EPFL (Ecole Polytechnique Fédérale de Lausanne), where he first completed a postgraduate training in biomedical engineering in 2001 and then a PhD within the doctoral school of computer science and telecommunication in 2005. For his PhD thesis, he was awarded the EPFL Chorafas Foundation Prize as well as the Swiss Society for Biomedical Engineering Research Award. During the same time, he received his MD in 2001 from University of Lausanne. He spent 1 year as a research fellow at Harvard Medical School in 2008-9. He is a regular teacher on diffusion MRI and connectivity in different international conferences and workshops. His research has been focusing over the last 10 year onto diffusion MRI and tractography and more recently has turned his interests into structural and functional connectivity investigations in healthy subjects, neurodevelopment and psychosis. He is one of the founders of MR connectomics and pioneered network analysis of brain MRI and developed open source software packages for that purpose.

Gabriel Girard

Center for BioMedical Imaging, CHUV & Signal Processing Laboratory (LTS5), EPFL, Switzerland

Gabriel Girard is a postdoctoral researcher at the Center for BioMedical Imaging (CIBM) of the Radiology Department of the Lausanne University Hospital (CHUV). He is also affiliated at the Signal Processing Laboratory LTS5 of the Swiss Federal Institute of Technology Lausanne (EPFL). His research focuses on white matter reconstruction from diffusion Magnetic Resonance Imaging. He is particularly interested in the white matter modeling, network analysis, and validation. He joined the LTS5 in 2016 with a Marie Skłodowska-Curie EPFL Fellow Fellowship on microstructure informed tractography. He obtained a double Ph.D. in computer science from the University of Sherbrooke (Canada) and the University of Nice Sophia Antipolis (France), under the direction of Professor Maxime Descoteaux, Professor Kevin Whittingstall and Professor Rachid Deriche.

Marco Pizzolato

Signal Processing Laboratory (LTS5), EPFL, Switzerland

Marco Pizzolato was born in Verona, Italy. He received his Bachelor and Master degrees in Biomedical Engineering from the University of Padua and a specialization master degree in Computer Game Development from the University of Verona. He obtained his PhD in Image and Signal Processing at Inria Sophia Antipolis (University of Côte d’Azur, France) under the supervision of Prof. Rachid Deriche. During his career he worked as trainee patent attorney and as research engineer for Olea Medical. Since August 2017 he is a postdoctoral researcher at EPFL in the LTS5 signal processing lab, focusing on image processing and biophysical modeling for Diffusion and Quantitative Magnetic Resonance Imaging.

Alessandra Griffa

Dutch Connectome Lab, Vrije Universiteit Amsterdam, The Netherlands

Alessandra Griffa received her Biomedical Engineering degree from the Politecnico di Torino, Italy, in 2007. She completed her PhD thesis in 2015 at the Swiss Federal Institute of Technology (EPFL) and in collaboration with Lausanne University Hospital (CHUV). She is now a postdoctoral assistant at the Dutch Connectome Lab, Vrije Universiteit Amsterdam, The Netherlands. Her research mainly relates to the study of integrative aspects of brain structure and function, with particular focus on clinical connectomics across the spectrum of psychosis disorders.

Romain-Daniel Gosselin

Precision Medicine Unit of the Lausanne University Hospital (CHUV), Lausanne, Switzerland

Romain-Daniel Gosselin holds a Ph.D. in Cell biology and Neuropathology from Pierre et Marie Curie University (Paris, France, 2006). He worked as a post-doctoral fellow at the University College Cork (Cork, Ireland), senior post-doctorate and then scientific collaborator and teacher at the Lausanne University Hospital (Lausanne, Switzerland). His major fields of expertise: sensory and stress-related disorders, molecular and cellular neuroscience, physiology and neuro-immunology. From 2013 to 2018 he was founder and CEO of Biotelligences LLC and since 2017 he is project manager in the Precision Medicine Unit at the Lausanne University Hospital. Romain-Daniel Gosselin is a section editor (biostatistics and experimental design) for Laboratory Animals. From 2013 to 2018 he has been a teacher in biostatistics at the Lemanic Neurosciences doctoral school (Swiss Institute of Technology, Lausanne and Geneva Universities), the Interuniversity Doctoral Program at the University of Neuchâtel, the Graduate School for Cellular and Biomedical Sciences (Bern University), the Molecular Plant Sciences doctoral program (CUSO) and the doctoral program of the Institute of Sport Sciences at Lausanne University (ISSUL).

Davor Kosanic

Tech4Impact, EPFL, Switzerland

Davor Kosanic is a passionate sustainability entrepreneur. He is part of EPFL’s Tech4Impact team, in charge of promoting sustainable development by leveraging cutting-edge science, technology and innovation, with special focus on engaging large corporations in sustainable innovation.

As healthcare entrepreneur, Davor has cofounded and led the Reconnect Foundation (transformational therapies for sustainable mental healthcare), and before that SamanTree Medical (award-winning fresh-tissue histology solution for cancer surgery).

Jonas Richiardi

Department of Radiology, Lausanne University Hospital & ACIT Siemens Healthcare, Switzerland

Jonas Richiardi is Clinical Research Lead at the Department of Radiology, Lausanne University Hospital, Switzerland, with joint appointment at Siemens Healthcare Advanced Clinical Imaging Technology. He was previously a Marie Curie fellow at Stanford University (Neurology) and the University of Geneva (Fundamental Neurosciences). Prior to this he was a post-doctoral researcher in the Medical Image Processing Lab, a joint position between the Ecole Polytechnique FÈdÈrale de Lausanne (EPFL), Institute of Bioengineering, and the University of Geneva’s Department of Radiology and Medical Informatics. He obtained his Ph.D. in signal processing and pattern recognition in 2007 at EPFL in the Signal Processing Institute (Laboratory of IDIAP), and his M.Phil. in speech and language processing and modelling from the university of Cambridge (Computer Science and Engineering Departments). His research interests include modelling and inference for complex multimodal biological data, in particular magnetic resonance imaging data and its combination with genomics and proteomics data. He focuses on graph-based statistical learning approaches, where all data is first represented as a graph, and machine learning approaches are applied to form prediction with graphs. Applications are early diagnosis, prognosis, and treatment response prediction for individual subjects, for diseases from Alzheimer disease to multiple sclerosis and schizophrenia. An ongoing effort is to develop these techniques so that they can be applied to messy, hospital-scale data.

Kevin Mader

Magic Leap, Zurich, Switzerland

Kevin Mader studied Electrical Engineering (BSc) and Photonics (MSc) at Boston University and did a PhD in Biomedical Engineering at ETH Zurich and Paul Scherrer Institut. His PhD brought him into the world of big data and machine learning as it focused on developing large-scale computing solutions for analyzing images of millions of images to better understand genetic components of disease. in 2014, He co-founded 4Quant to commercialize these technologies in order to bring AI to radiology. By manually collecting thousands of images from different hospitals around Switzerland 4Quant built one of the first AI-powered tools for PET-CT and Lung Cancer.

Samuel Lagier

SamSpeaksScience, Geneva, Switzerland

Dr Samuel Lagier is a multi-talented scientist and improviser. He performs and teaches improv to individuals and applied improv to corporate clients with the Renegade Saints. He teaches presentation skills to experts (SamSpeaksScience.com) and curates, coaches and hosts the TEDxLausanne conference since 2012. He is managing the Geneva branch of the Lausanne-based Catalyst theatre company which creates new media to communicate science. In his scientific career, Dr Lagier studied sensory perception in the normal and in the schizophrenic brain, in France, the United States and in Switzerland. He combined microscopy, behavior and electrophysiology to characterize a genetic model of schizophrenia developed in mice.

Sébastien Tourbier

Department of Radiology, Lausanne University Hospital

Sébastien Tourbier received his BSc and MSc degrees in Communication Systems with specialization in Signal and Image Processing from the School of Computer and Communication Sciences of the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, in 2011. Between February 2011 and May 2012, he worked as an Intern and then as a R&D Engineer for the Ultrasound Physics Department of the Geneva Research Center of Bracco Imaging, focusing on the development of a segmentation method for the tracking of carotid plaque in dynamic contrast-enhanced ultrasound (CEUS) modality, and its integration into VueBox ™, a Bracco-developped perfusion quantification software tool. Between October 2012 and September 2016, he pursued a PhD at the Center for Biomedical Imaging (CIBM) and the Medical Image Analysis Laboratory (MIAL) of the University of Lausanne (UNIL), under the supervision of Prof. Reto Meuli and Dr. Meritxell Bach Cuadra. He successfully developed novel image processing methods for automated fetal brain magnetic resonance image analysis, and made them publicly available through the MIAL Super Resolution Toolkit (MIALSRTK), a set of C++ tools, necessary to perform the whole reconstruction pipeline. Since March 2017, he is part of the Connectomics Lab, led by Prof. Patric Hagmann and he is currently working as a postdoctoral research fellow within the Brain Communication Pathways Sinergia Consortium. He is in charge of data processing coordination as well as the development of the new release of the Connectome Mapper, where he has reinforced its expertise not only in MRI data analysis but also in the development of highly portable image processing pipeline softwares with enhanced reproducibility.