Scott Laurence Fairhall

Corso Bettini, 31 - 38068 Rovereto
tel. 0464 808705
scott.fairhall[at]unitn [dot] it
Area CUN: Scienze biologiche (05)
Settore scientifico disciplinare: FISIOLOGIA (BIO/09)


2001 - 2006. PhD (Department of Psychology, The University of Auckland)

2000 The University of Auckland - Bachelor Of Arts (Honours) - Psychology, 1st Class Honours

1998-1999/. The University of Auckland - Bachelor of Science - Major: Physiology

1994-1996. The University of Auckland - Bachelor of Arts - Major: Psychology 

Carriera accademica ed attività didattica

2017 -  present            Associate Professor (RTD-A/B),  Center for Mind/Brain Sciences, University of Trento, Italy.

2015 -  2017    Assistant Professor (RTD-A/B),  Center for Mind/Brain Sciences, University of Trento, Italy.

2013 - 2015     Postdoctoral Fellow, Center for Mind/Brain Sciences, University of Trento, Italy.

2009 - 2012     Postdoctoral Fellow, Department of Psychology, Harvard University, Cambridge, MA 

2009 - 2012     Center for Mind/Brain Sciences, University of Trento, Italy (dual affiliation)

2007 - 2008     Postdoctoral Fellow, Neuroimaging Laboratory, Fondazione Santa Lucia, Rome, Italy.

2006                Visiting Scientist, Institute of Neuroradiology, University of Zurich. (February to August)

Interessi di ricerca

We focus on our knowledge about other people as well as things in general to try and get a better understanding of how the conceptual primitives are combined and to form a meaningful systems-level model of factual knowledge. This model will be refined and tested over the remaining years – assessing aspects of semantic representation that affect us both as individuals and as a society.

Attività di ricerca

We address our research goals though fMRI and MEG, cutting edge analysis (a lot of MVPA/RSA) as well as some novel approaches and analytic strategies. Additionally we are incorporating more and more of the tools of computational linguistics (Coprus bases and deep learning) to inform our paradigms and analysis.

Premi e riconoscimenti

2017 FARE: Framework per l'attrazione e il rafforzamento della eccellenze per la ricerca in Italia. Deep Learning and Abstract Semantic Knowledge €135 000

2015 – 2020 European Research Council Starting Grant. Cortical Representation of Abstract Semantic Knoweldge. - €1,472,502