Johan Medrano
Scholar

Johan Medrano

Google Scholar ID: gXiX6XwAAAAJ
Massachusetts Institute of Technology
Complex SystemsNonlinear DynamicsBiophysicsBayesian Machine LearningNeuroimaging
Citations & Impact
All-time
Citations
49
 
H-index
4
 
i10-index
2
 
Publications
14
 
Co-authors
12
list available
Resume (English only)
Academic Achievements
  • Chairs weekly meetings that gather researchers interested in applying Dynamic Causal Modelling to study complex phenomena; teaches neuroimaging methods during the bi-annual SPM Courses in London and is involved in the Dynamic Causal Modelling workshop within the MSc Advanced Neuroimaging program at UCL.
Research Experience
  • Currently a Postdoctoral Researcher at the ICoN Center (at MIT) and an Honorary Research Fellow at the Functional Imaging Laboratory. Works with the Jasanoff and Brown labs on developing biophysical modelling of molecular fMRI. Previously, a Postdoctoral Researcher at the FIL, working with Prof. Peter Zeidman, Prof. Karl Friston, and the Memory and Space team led by Prof. Eleanor Maguire.
Education
  • PhD from the Interactive Digital Human team at LIRMM, under Dr. Sofiane Ramdani and Prof. Abderrahmane Kheddar; MSc (Diplôme d’Ingénieur) in Control Engineering and Electronics from INSA Toulouse.
Background
  • A Research Fellow at UCL with a long-term ambition to understand how complex biophysical systems can instantiate and maintain functions.
Miscellany
  • Can be reached at johan.medrano{at}ucl.ac.uk; active on Twitter, LinkedIn, GitHub, etc.