Juan Iglesias Gonzalez, PhD

Professional Information


ERC Senior Research Fellow, University College London
Research Staff, Massachusetts General Hospital
Lecturer on Radiology, Harvard Medical School


PhD Biomedical Engineering, UCLA,

Martinos Faculty


Mailing Address

Building 149, Room 2301
13th Street
Charlestown, MA 02129 USA

General Contact Information


Additional Information



I studied telecom engineering at the University of Seville (Spain),
and then moved to Stockholm (Sweden) for a second M.Sc. degree in
electrical engineering at the Royal Institute of Technology (KTH), where
I also completed a master's program in wireless systems with a Ernst
Johnson fellowship. I got involved in medical applications for the first
time during my M.Sc. thesis work at the Karolinska Institute, also in
Stockholm. After two research assistantships at the University of
Seville and the University of Copenhagen (Denmark), I carried out my
doctoral studies in biomedical engineering at the University of
California, Los Angeles (UCLA, in USA) with a Fulbright Science &
Technology grant. After my Ph.D., I was a postdoctoral fellow for two
and a half years at the Martinos Center for Biomedical Imaging in Boston
(USA), and a Marie Curie fellow for two years at the Basque Center on
Cognition, Brain and Language in San Sebastian (Spain). I joined University College London (UCL) in
May 2016 with a Starting Grant of the European Research Council (ERC)
with the title: "Building Next-Generation Computational Tools for High
Resolution Neuroimaging Studies". I split my time between UCL and the Laboratory of Computational Neuroimaging at the Martinos Center, directed by Prof. Bruce Fischl. I am also a research affiliate at the Massachusetts Institute of Technology.


My research has recently been focused on building high resolution models of human brain anatomy with ex vivo
imaging data. Using brains from cadavers, we can acquire MRI data for a
long time, which yields images with very high resolution. We can also
perform histological slicing and analysis of the images, which yields
excellent contrast between brain structures. Ex vivo MRI and
histology can be combined to build very accurate models of brain
anatomy, which can in turn be applied to automatically analyze in vivo MRI scans at high resolution for a wide range of neuroimaging studies.


Publications, code, blog, and more

This can all be found in my website at: http://www.jeiglesias.com