Elia Formisano (E.)
Elia Formisano received his MSc degree in Electronic Engineering in 1996 from the University of Naples (Italy) and his PhD from the national (Italian) program in Bioengineering in 2000. Thanks to an outgoing grant, in 1998-1999, he was a visiting research fellow at the Max Planck Institute for Brain Research in Frankfurt/Main. In January 2000, he was appointed Assistant Professor at Maastricht University (Faculty of Psychology and Neuroscience) where he is now Professor of Neuroimaging Methods: Neural Signal Analysis. In 2008-2013, he has been Head of the Department of Cognitive Neuroscience. He is scientific director of the Maastricht Brain Imaging Center (MBIC), Principal Investigator of the Auditory Perception and Cognition group and founding member of the Maastricht Center for Systems Biology (MaCSBio). His research is supported by several national (e.g. NWO VIDI, VICI, Gravitation) and international funding sources. His research aims at discovering the neural basis of human auditory perception, cognition and plasticity He pioneered the use of ultra-high magnetic field (7 Tesla) functional MRI and multivariate modeling in neuroscience studies of audition. He is actively involved in methods development, focusing on algorithms for unsupervised and supervised learning. On these topics, he has published in high ranked journals, including Science, Neuron, PNAS, Current Biology. He has about 20 years of teaching experience, which includes the development of courses and curricula at bachelor, master and graduate school level on topics of cognitive neuroscience, neuroimaging and biomedical engineering (biomedical signal and image analysis). In 2008-2010, he has been Chair of the Educational Program for the Organization for Human Brain Mapping (OHBM) meetings.
For publications see: https://www.ncbi.nlm.nih.gov/pubmed/?term=Formisano+e
Full professor for Neural Signal Analysis, Key domain chair
Brightlands Institute for Smart Society (BISS), Faculty of Science and Engineering
Maastricht Centre for Systems Biology (MaCSBio), Faculty of Science and Engineering