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Jonas Richiardi

Jonas Richiardi, PhD

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Department of Radiology
Lausane University Hospital

Bio sketch

I am currently a principal investigator (responsable de recherche) and senior lecturer (MER1) at the Department of Radiology of the Lausanne University hospital (CHUV) and University of Lausanne (Faculty of Biology and Medicine), where I head the Translational Machine Learning Laboratory.

I was previously Clinical Research Lead in the Department of Radiology, Lausanne University Hospital, with a joint affiliation to Siemens Healthcare Switzerland's Advanced Clinical Imaging Technology group. Before that, I was a Marie Curie Fellow with my project project "Modelling and Inference on brain Networks for Diagnosis" (#299500), jointly affiliated to the FINDlab at Stanford University and LabNIC at the University of Geneva.

Between 2009 and 2012, I was  a post-doctoral research fellow in the Medical Image Processing Lab, a joint position between the Ecole Polytechnique Fédérale de Lausanne (EPFL), Institute of Bioengineering, and the University of Geneva's Faculty of Medicine, Radiology and Medical Informatics Department.

Prior to joining the group, I co-founded the information engineering consultancy PatternLab.

I obtained my Ph.D. in 2007 at EPFL in the LIDIAP laboratory, speech processing and biometrics group, part of the now-fragmented Signal Processing Institute. During my Ph.D. studies I was the recipient of an IEEE ICASSP best student paper award, and an ISMC best graduate student presentation award.

I earned my MPhil degree from the University of Cambridge, Engineering Department (Speech, Vision, and robotics group, now Machine Intelligence Laboratory) and Computer Laboratory, in 2002. Prior to that I obtained a BEng in electronic engineering with 1st class honours from the Electronic Systems Engineering department (now School of Computer Science and Electronic Engineering) at the University of Essex.


I have served as a project reviewer for the UK's Medical Research Council and Engineering and Physical Sciences Research Council, France's Fondation pour la recherche médicale, Netherland's Organisation for Scientific Research, and the ETH Domain Strategic Focus Area Personalized Health and Related Technologies in Switzerland.

I serve as a journal reviewer in Engineering (IEEE Trans. on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE, IEEE Trans. on Medical Imaging, SIAM Journal on Imaging Sciences, IEEE Trans. on Biomedical Engineering, Pattern Recognition, IEEE Signal Processing Letters, and others), Brain imaging (Nature Neuroscience, Cerebral Cortex, Human Brain Mapping, NeuroImage, American Journal of Neuroradiology, Neuroradiology, Brain Structure and Function, Brain Topography, Journal of Neuroscience Methods, and others),and topics in modelling of biological systems (Nature Communications, PNAS, PLoS Computational Biology, PLoS One).

I have been an organising committee member for the Int. Workshop on Pattern Recognition in Neuroimaging (PRNI) series since the beginning, including Istanbul 2010 (chair), Seoul 2011 (programme chair), London 2012 (programme chair), Philadelphia 2013 (steering committee chair), Tübingen in 2014 (steering committee chair), Stanford in 2015 (finance & sponsorship chair), Trento in 2016 (steering committee member), and Toronto in 2017 (steering committee member).

I have also been a conference programme committee member in neuroimaging (NIPS Workshop on Machine Learning and Interpretation in NeuroImaging, Mathematical Methods for Brain Connectivity, Organisation for Human Brain Mapping Annual Meeting), signal/image processing (IEEE Int. Symposium on Biomedical Imaging, IEEE Int. Conference on Image Processing, Wavelets & Sparsity, IEEE Int. Conference on Acoustics, Speech, and Signal Processing, European Signal Processing Conference, and others), and machine learning (Neural Information Processing Systems (NIPS/NeurIPS), International Conference on Machine Learning (ICML), IAPR International Conference on Pattern Recognition (ICPR)).