I work on the field of computational neuroscience, and my background is on neuroscience (Ph.D. Cognitive and Neural Systems, Boston University) and engineering (B.S./M.S. Telecommunication Engineering, Universidad de Valladolid). My areas of specialization are modeling and statistics, brain imaging methods, and machine learning, and my main research interest is the understanding and characterization of human brain dynamics with neuroimaging.

On this site you will find my most recent publications and some of the related research software that I have developed over the past few years 

(as well as some of the programming and data-analysis competitions and art projects that I enjoy participating in when not doing research)


in the top 1% most frequently cited compared to other publications in the same field and year

92th  citation percentile median (50% publications in the top 8% most frequently cited)

source Clarivate / Web of Science, June 2023

total citation count ranked in the top 3% among computational neuroscience researchers 

10,721 citations

  3,263 per-author citations (citations divided by number of authors)

  1,464 citations in 2022 (citations during last calendar year only)

publications: 73 i10-index: 48 h-index: 32 

 source Google Scholar, April 2023

in the top 1% highest Research Interest Score compared to other publications in the same year

author's combined Research Interest Score ranked in the top 1% compared to all ResearchGate members

RI Score: 5,241 reads: 47,121 citations: 9,174 

source ResearchGate, June 2023


in the top 1% most frequently viewed and downloaded neuroimaging tools

   133,597 file downloads

1,885,767 pageviews

     13,461 support forum posts

source NITRC, June 2023

       5,230 studies using CONN

source Google Scholar, Sept 2023