Federico Zamberlan is a Ph.D. candidate in Physics at the University of Buenos Aires where he works on the fields of biophysics. He is dedicated to linking the different phenomena in the chain of events that are unleashed during a psychedelic experience, from the molecular scale to the final conscious manifestations.
Through the use of machine learning techniques such as graph convolutional networks and natural language processing tools he is working in the study and interpretation of the subjective experiences elicited by psychedelics and their underlying neurophysiological mechanism. Currently he is, alongside his colleagues, performing experimental work on different dimensions of psychedelic neuroscience and giving lectures on scientific divulgation about their potential therapeutic use. In his spare time, Federico backpacks around Latin America, immersing himself in the local cultures and their traditions.
pharmacology, psychedelics, geometrical learning