About

I am a postdoctoral research fellow at the Functional Imaging Laboratory currently working on developping new Bayesian methods for neuroimaging with Dr. Peter Zeidman, Prof. Karl Friston, and the Memory and Space team led by Prof. Eleanor Maguire.

Starting January 2024, I will join Prof. Alan Jasanof laboratory at MIT to develop biophysical modelling for molecular fMRI data.

My long-term goal is to improve our ability to explain complex biological phenomenas. This entails:

extending dynamic causal modelling, a Bayesian framework for modelling dynamical systems, to new experimental paradigms (e.g., naturalistic experiments), new imaging modalities, and new biophysical systems,
improving our understanding of biophysical dynamics under an information-theoretic perspective, using synergetics and the free-energy principle as guiding principles to inspect self-organisation, agency, and adaptation,
developping a rigorous methodology to connect the dots between different physical scales and understand how physical coupling and individual dynamics give rise to the measured collective behaviour.

Teaching

I teach neuroimaging methods during the bi-annual SPM Courses in London.

I am also involved in the Dynamic Causal Modelling workshop within the MSc Advanced Neuroimaging program at UCL.

I did my PhD in the Interactive Digital Human team at the LIRMM, under Dr. Sofiane Ramdani and Prof. Abderrahmane Kheddar. I received my MSc (Diplôme d’Ingénieur) in Control Engineering and Electronics from INSA Toulouse.

You can reach me at johan{dot}medrano{at}ucl.ac.uk