This profile is built from public research funding records (CIHR, NSERC and SSHRC). We have not imported them from a University of Calgary directory, so their publications, courses and email address may be missing. Find their university profile.
Latest funding
- $96,000
Integrating large-scale neural mass modeling and deep learning
NSERC · 2022 · Principal investigator
Single-subject predictors of autism spectrum disorder via next-generation machine learning models
CIHR · 2022 · Nominated PI
- $224,000
Estimating microscopic biophysical information from macroscopic neuroimaging data via the inversion of neural-glial mass models
NSERC · 2015 · Principal investigator
Integrating large-scale neural mass modeling and deep learning
Principal investigators: Sotero Diaz, Roberto
Single-subject predictors of autism spectrum disorder via next-generation machine learning models
Principal investigators: Sotero Diaz, Roberto C
Keywords: Autism Spectrum Disorder; Fmri; Machine Leaning; Neural Mass Models
Estimating microscopic biophysical information from macroscopic neuroimaging data via the inversion of neural-glial mass models
Principal investigators: SoteroDiaz, Roberto
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.