Dimitri Van De Ville is a professor of Bioengineering at EPFL and University of Geneva, and the head of the Medical Imaging Processing Lab at Campus Biotech, Geneva. His research focuses on the development of methodological tools in signal and image processing to probe into network organization and dynamics, at various stages of the acquisition, processing, and analysis pipeline. His work led him to become a known figure in the field, as well as winning different awards, such as Leenaards Award 2016, the NARSAD Independent Investigator Award 2014, and the NeuroImage Editors' Choice Award 2013 for his paper 'Total activation: fMRI deconvolution through spatio-temporal regularization'.
Matteo Bastiani (PhD) is a research fellow at Sir Peter Mansfield Imaging Centre (University of Nottingham, UK) and holds an honorary affiliation with the Centre for Functional MRI of the Brain in the University of Oxford. He has been working on the analysis of data acquired using diffusion-weighted imaging to study the anatomical connectivity of the brain both non-invasively and in vivo. The main goal of his research is to combine both micro and macroscopic information obtained by diffusion imaging to reconstruct a reliable model of brain's white matter organization.
His interest in language processing developed during his training period at the University of Padova (Italy) on visual word recognition and naming. After defending his Ph.D. on the electrophysiological basis of agreement processing in Italian, he got interested in the neurocognitive processes involved in the comprehension of different Multi-Word Expressions. Such processes seem to critically depend on successful predictability. Since 2008 he refreshed his old interest in visual word recognition, running some studies on masked priming. During this period he also started nice projects on agreement processing. tRecently he is working on the neural basis of dyslexia focusing on analyses of phase synchronization during speech perception.
César likes developing novel signal processing algorithms to understand human brain function with functional magnetic resonance imaging. Lately, he has been particularly interested in time-varying (a.k.a. dynamic) functional connectivity and multi-echo functional MRI. Apart from his research, he struggles to be a good father and an appropriate mentor.
Doug Davidson is a staff scientist at the BCBL and an instructor at the University of the Basque Country. His research focus has been electrophysiology, as well as learning and statistics.
"No neuron is an island". As a neuroscientist and subcortical lover, his research is focused on functional and structural connectivity on cerebral areas involved in emotional processes, targeting cortico-cortical interactions. As Italian, he loves cooking (not only pasta and pizza) and his dog.
Cognitive neuroscientist and fMRI advocate. Studying the neural basis of the psychological processes we engage in when trying to understand other individuals. Also interested in large-scale meta-analytic methods and statistical learning.
Postdoc researching the neuroanatomical circuits of verbal memory, and in particular the variable delays involved in recall. Works with MRI, fMRI, Diffusion MRI, and Behavioral methods. When not in the lab he's regularly swimming in La Concha Bay (yes, even in the winter).
Craig specializes in the analysis of cortical oscillations focusing on inter-areal connectivity metrics and cross-frequency coupling in invasive and non-invasive electrophysiological recordings. He studies top-down processes such as attention and prediction.
PhD student @BCBL and IT department chief at Brainhack donostia, Focused on Cognition in Parkinson disease. Also a bit of a geek with computers and programing. Loves surfing, hiking and of course watching series. If you have any IT problems I can send one of my minions.
Undergrad in Arizona State, Master in New York University, and currently postgrad in BCBL. He is interested in topics like unconscious semantic processing, probabilistic programming, machine learning, and artificial general intelligence. With tons of experience in Python/R programming, so he likes to make scripts that automate a small part of his life. Because doing so, he can spend more time in watching basketball and statistically analyze basketball.
PhD student @ BCBL and Co-chairman of BHD. Resting state aficionado, he's currently studying how physiological factors impact BOLD signal measurements. When he's not coding, he's probably in the kitchen, cooking.
PhD student @ BCBL and neuropsychologist, coming from the field of attention and consciousness and currently working on characterizing the neurodevelopmental basis of metacognition using a multi-modal MRI approach. Outside the lab he is a Muay-Thai practitioner and enjoys reading dystopian literature.
Co-chairman of BHD, she is a Ph.D. student in Cognitive Neuroscience with the engineering background. Her previous research was focused on Speech motor learning mechanisms and Speech perception. Her current research interests lie in the field of the neural basis of bilingual language control and more specifically she focuses on people who undergo brain surgery. Hiking, climbing, and singing.
PhD student @ BCBL and biomedical engineer, he has just started his research career and is working on multivariate deconvolution methods for fMRI. As a proper engineer, he's a computer/phone/tech/programming geek. He also loves hiking (specially at sunset) and photography, and is into playing the electric guitar.